Is Faraday Future Intelligent Electric Inc. (FFAI) a good stock to buy?

Price through Oct 14 market close · SEC data refreshed 3 days ago ⓘ · Not investment advice
Faraday Future Intelligent Electric Inc.
FFAI Consumer Cyclical Auto Manufacturers📄 SEC filings ↗
Speculative
Looks dangerous ●●●●●

Two or more of our tested checks point the wrong way. When the survival check is one of them, no price makes that acceptable.

What each rating means, in numbers

Can it survive? — Very risky. Safer than 1% of the companies we cover, judged on the warning signs that came before companies that really did fail.

Business quality — Middling. Passes 5 of the 9 health checks we can measure — things like making a profit, turning it into cash, and not piling on debt. Across 131,000 company-quarters the weakest scorers went on to fail at 5.4% against 1.4% for the strongest, in every era and all twelve sectors.

How wild is the price? — Very wild. The share price swings about 90% in a typical year, which puts it in the most volatile fifth. Out of every 100 companies that swung like this, about 8.6 went bankrupt within the year. Across the three periods we tested that ran from 3.7% to 11.5%.

What "tested" means here, and why there is no score out of 100

Tested means the read was measured against what actually happened afterwards, on a history that keeps the companies that were later delisted, using only figures that had been filed on the day they are used. Survival was ranked on companies that really did fail. What an owner keeps was tested across the universe from 2011 to 2025.

The full record of everything we have tested is on the research pages.

Which benchmark. Over the period we tested, the median listed company returned +5.8% a year while the S&P 500 returned about +13.9% — the index is weighted by size and was carried by a handful of enormous winners. So "beats the index" and "beats the other companies you could have bought" are different questions. Where a read says it picks better companies, it means the second one. None of these gets you an index fund's return, and we would rather say that than imply otherwise.

The quality read is the strongest thing we have tested: 131,000 company-quarters across 5,300 companies, where the weakest scorers went on to fail at 5.4% against 1.4% for the strongest, holding in every era and all twelve sectors. It still says less likely to break, not likely to beat the market — every band in that study lost to the index at the median, because the median listed company does.

Each read is shown on its own rather than merged into a single score, so you can see which part is strong and which is weak instead of taking an average on trust.

▾ What goes into the smart-money reading
Smart money (short interest + insider buying) (50%) 65/100 → +32.5
Macro backdrop (VIX, curve, credit, fear/greed + week-over-week momentum) (50%) 42/100 → +21.0
early-warning: macro conditions deteriorating week-over-week
Total54/100

Contributions (weight × component score) sum to the total. This near-term score now includes fundamental health (leverage, FCF trend). It excludes the Altman Z score, whose retained-earnings input this filer does not report separately. See the Financial Health section for the full balance-sheet read.

💵 Price $1.08 · through Oct 14 market close 📄 Financials SEC EDGAR · refreshed 3 days ago
Business type Speculative micro-cap ⓘ Stock is too small / too volatile for our standard models to produce reliable signal
20%
vs 14% normally
Ordinary
The market, not this company tested

Chance the S&P 500 falls 10% or more in the next three months.

Counted from every day since 2006. Says nothing about FFAI — see the board for how it is measured.

📍 Where to start on this page, and what to look at first

How to read FFAI (speculative micro-cap)

No model can pin a precise fair value on a company this small — but that does not mean there is nothing to learn. The useful questions are what the price is betting on, and whether the company can survive long enough to deliver it.

Where to start — the sections that matter most for this stock
  1. 1 Reverse-DCF — what growth the price assumes ↓
    The single most useful number here: it backs out the growth the market is paying for. If that figure is "historically unprecedented," the price is running on hype, not fundamentals.
  2. 2 Cash runway ↓
    A pre-profit micro-cap lives or dies on whether it can fund itself to profitability before running out of money and diluting you.
  3. 3 The raw financial statements + the 10-K ↓
    At this scale, the actual numbers, insider ownership, and share-count trend tell you more than any ratio.
Or — what are you trying to decide?
A note on process: fear-driven decisions — including fear of missing out — tend to be the expensive ones. A stock up 10% a day for three days is excitement, not evidence. Whichever reader you are, the data below is there to be checked before anything is decided.
🚀
"It's surging — should I chase it?"
The momentum / FOMO trade. Before you chase, see whether the people who know it best are quietly selling into the rally.
🏷️
"Is it a cheap bargain?"
The deep-value trade. How far below assets and our value it trades — and whether it's cheap for a reason.
ⓘ We couldn't produce a confident fair-value number

Our models couldn't converge on an intrinsic value for FFAI they trust, given its current filings. We show no number rather than a misleading one.

What to use instead: Use the Reverse-DCF, the peer multiples in the Football Field, and the financial statements below as your signal.

This note is only about the single DCF fair-value number — FFAI's full financial statements, health scores, and written analysis are all below.

ⓘ Why does FFAI trade at $1.08?

Faraday Future Intelligent Electric Inc. has 37.2 million shares outstanding. At $1.08 per share, the market values all outstanding FFAI equity at $40.2 million. That's market capitalization, not enterprise value — enterprise value also accounts for debt and cash (FFAI carries little or no debt, so the two are close here). The share price by itself tells you almost nothing — a company can pick any share price by splitting or issuing more shares. What matters is the total value (Market Cap?Market Cap — The total dollar value the market is assigning to the entire company.
Why it matters: This is the number that actually matters when comparing companies. Two companies with the same business but different share counts have the same market cap.
Reference: Mega cap >$200B · Large $10–200B · Mid $2–10B · Small $300M–2B · Micro <$300M
Full explanation →
) compared to what the business actually produces. This page values FFAI in Per Share?Per Share — A company-level figure divided by total shares — what one share represents.
Why it matters: Per-share metrics are the only way to fairly compare two companies with different share counts.
Full explanation →
economics — what each share represents of the underlying business. Play with the share-price calculator on the homepage →

Loading insider & short-seller data…

Who owns FFAI, and how it moves

From the SEC's own filings: every fund manager over $100M reports its holdings each quarter, and every officer and director reports theirs. Each point is what was public at the time.

Held by officers and directors
0.0%+0.0 pts over the last year
2021-09 · 83%2024-09
2.31×
Moves with the market
Over the last year, a 1% move in the S&P 500 came with about a 2.3% move in FFAI.
1.43×
Moves with its sector (Consumer Cyclical)
The same measure against the XLY sector fund over the last year.

Riskier than 99% of the stocks we cover

Failure risk
Very risky
●●●●●
Rank 99 of 100
Went bankrupt within a year
16.4%
●●●●●
Average company: 0.6%
What this rating means, and what it does not

What this rank is — Very risky. Riskier than 99% of the companies we cover. Out of every 100 companies ranked here, about 16.4% went bankrupt within the year, against 0.6% for the average company we cover. The rank comes from a model trained on every US filing since 2012, including 823 companies that really did fail, and scored each year by a version that had not seen that year.

What it is not — Not a trade. We tested shorting these names and buying puts, spreads, straddles and condors on them at real option prices, 2010-2025. Every version lost money: the market already prices the distress and the survivors squeeze. A high rank is a reason to read the filings and to size for a total loss, not a reason to bet against the company. A low rank says the balance sheet is calm, not that the price is sensible.

▾ The numbers, the logic, and why not to trade on it

The logic. A model trained on every US filing since 2012 — including 823 companies that went bankrupt or stopped trading under a dollar — ranks each covered stock by its chance of failing in the next year, from its latest filing, price history and credit conditions. The rank is a position among peers; the table is a count of what happened to stocks in each position, scored each year by a model that had not seen that year.

Rank band went bankrupt within 12 monthsfell 80% or more (or failed) within 12 monthsfell 50% or more (or failed) within 6 months
All covered stocks (average) 0.59% 4.21% 8.51%
Consumer durables (sector average) 0.87% 4.61% 8.99%
riskiest 1% ← this stock 16.4% 33.0% 45.5%
next 2% (97-99) 5.9% 24.9% 38.2%
next 2% (95-97) 3.4% 21.2% 33.8%
next 5% (90-95) 1.6% 15.1% 27.3%
next 15% (75-90) 0.8% 8.5% 17.8%
next 25% (50-75) 0.2% 2.7% 6.2%
safest half <0.1% 0.5% 2.1%

Why not to trade on it. We tested shorting these names and buying puts, spreads, straddles and condors on them at real option prices, 2010–2025: every version lost money. The market already prices the distress, and the survivors squeeze. Use a high rank to read the filings and to size for a total loss — not to bet against the company. A low rank says the balance sheet is calm, not that the price is sensible.

Scored from the most recent SEC filing we had (dated 2026-05-15), which can be a quarterly report newer than the yearly figures used elsewhere on this page; scores last updated 2026-09-18. Within Consumer durables: rank 98 of 100. Rough one-year odds for this stock alone: bankruptcy 7.9%, an 80% fall 20.2% (the model overstates the middle of the range). On the same data, the Altman Z score caught 26% of bankruptcies in its riskiest 5%; this rank caught 59%.

Takeover odds: higher than 31% of the stocks we cover. Companies ranked here were acquired within a year 3.0% of the time (average 4.6%).
▾ The logic, and why not to buy on it

The logic. Trained on 2,900 acquisitions since 2012, the model leans on size (small), age, retained earnings, asset growth, volatility and how many deals the sector has just seen. Announcement = the day the stock jumped, not the day the paperwork was filed.

top 1% 15.4% acquired within a year
next 2% (97-99) 10.3% acquired within a year
next 2% (95-97) 9.0% acquired within a year
next 5% (90-95) 7.3% acquired within a year
next 15% (75-90) 6.4% acquired within a year
next 25% (50-75) 4.8% acquired within a year
bottom half ← this stock 3.0% acquired within a year

Why not to buy on it. A takeover paid a median +22% on the day — but even in the top band about 6 in 7 companies are not bought, and those lag. Buying the whole top list returned what the S&P 500 did (2012–2023), and adding "cheap" or "beaten-down" filters did not change that. Read it as context for a thesis you already have, never as the thesis.

Checking filings for failure warnings…

How to read a company this small

FFAI is too small and/or too volatile for the valuation lenses we use on larger, more stable companies. The numbers shown below should be taken as rough orientation only.

✅ What actually drives value for this kind of company
  • Market cap $40.2M — nano-cap territory (below $50M)
  • Latest annual revenue $536K — too small for meaningful growth percentages
❌ Metrics that DON'T apply (ignore these even if you see them below)

Growth percentages on tiny revenue bases (1000% going from $200K to $2M is not predictive). P/E and ROE swing wildly with small earnings changes. Peer comparisons fail because there often aren't comparable companies at this scale.

📚 Where to actually look

Start with the Reverse-DCF above — it backs out the growth the price is betting on; if that figure is "historically unprecedented," the price is running on hype, not fundamentals. Then the cash runway (can it fund itself to profitability before diluting you?). Then the raw Financials table and the 10-K on SEC EDGAR — at this scale, insider ownership and the share-count trend often matter more than any ratio.

Classified as Speculative Nano / Micro-cap (confidence 80%). Disagree? An admin can override via the post edit screen.

⚠ Genuine comparables are scarce at this size, so peer multiples are unreliable here. Treat as rough context only — see 📍 What to focus on above.

How does FFAI stack up against its closest peers?

We take the 8 same- or closely-related-industry companies closest in size to FFAI and check what investors are paying for each dollar of their revenue (or profits). If FFAI is much more expensive on the same yardstick, that's a red flag — unless you have a specific reason it deserves a premium. For a leveraged business, FCF yield (in the table) is usually more reliable than EV/Sales, because revenue multiples ignore differences in margins and debt.

▾ What's "EV / Sales" in plain English?

EV (Enterprise Value) = market cap + total debt − cash. It's "what you'd pay to buy the entire company outright" — you pay the market cap to shareholders and take over their debt, but you keep their cash. EV is fairer than market cap alone because it includes the debt the new owner inherits.

EV / Sales = EV ÷ annual revenue. So "2.5×" means investors pay $2.50 of enterprise value per $1 of yearly sales. Higher = market is paying more per dollar of sales (usually because they expect future growth or fat margins).

p25 / median / p75 are the 25th, 50th (middle), and 75th percentile of the peers' multiples. Half the peers fall between p25 and p75. The median (p50) is the typical peer — that's the benchmark we compare to.

What peers trade at (p25 / median / p75)
EV / Sales?EV / Sales — For every $1 of yearly revenue, this is how many dollars investors pay to own the whole business (including debt).
Why it matters: Works for pre-profit growth companies where P/E and FCF don't apply. The most apples-to-apples cross-company multiple because it ignores accounting choices.
Reference: 1–3x for mature companies · 4–10x for software/SaaS · 10–20x for hypergrowth · >20x is rare and demanding
Full explanation →
1.5x / 2.7x / 3.1x
EV / Gross Profit?EV / Gross Profit — Enterprise value divided by gross profit — the multiple paid for what each dollar of sales contributes after direct costs.
Why it matters: More refined than EV/Sales for high-margin businesses (software, marketplaces) where gross margin is the real economic engine.
Reference: 8–15x for SaaS · 15–25x for hypergrowth software · >30x demanding
Full explanation →
18.7x / 31.5x / 37.2x

Bold middle number = median peer. Half the peers trade above it, half below. Computed over 8 same-industry peers; implausible multiples excluded.

Peer-implied value check
$0.98
If FFAI traded at the typical (median) peer's EV/Sales multiple, the share price would be about $0.98.
Plain English: the stock currently trades at $1.08. That's 10.5% above what peer multiples imply — modest premium, probably justifiable if fundamentals are slightly better than peers.

⚠️ Important caveat: peer multiples only work if the peers are genuinely comparable. Always check the peer list below — if the auto-picker grabbed micro-caps or unrelated businesses, the comparison is noise. A medical-device giant priced against tiny biotech startups won't produce a useful signal.

▾ View peer list (8)
Ticker Company Industry Mcap EV/Sales EV/GPEV/EBIT FCF Yield
WKHS Workhorse Group Inc. Auto Manufacturers $42M 2.7x —— 0.3%
DCX Digital Currency X Technology Inc. Auto Manufacturers $49M — —— 0.4%
LOTWW Lotus Technology Inc. Auto Manufacturers $30M 2.7x 31.5x— 21.1%
SEV Aptera Motors Corp Auto Manufacturers $57M — —— 0.4%
GGR Gogoro Inc. Auto Manufacturers $73M 1.5x 18.7x— 3.7%
AIIO ROBO.AI INC. Auto Manufacturers $22M 23.2x 37.2x— 0.7%
SCAG Scage Future Motor Vehicles $35M 3.1x —— 2.1%
GP GREENPOWER MOTOR Co INC. Motor Vehicles $28M — 5.2x— —

Quality & solvency checks

Cheap stocks can be cheap for a reason. These screens warn when a low valuation comes paired with structural fragility.

Business quality
Middling
●●●●●
Passes 5 of 9 checks
What these health ratings mean, in numbers

Business quality — Middling. Passes 5 of the 9 health checks we can measure — things like making a profit, turning it into cash, and not piling on debt. Across 131,000 company-quarters the weakest scorers went on to fail at 5.4% within a year against 1.4% for the strongest, and that held in every era and all twelve sectors. It says "less likely to break", not "likely to beat the market".

The workings
Altman Z-Score?Altman Z-Score — A bankruptcy-risk score combining 5 financial ratios into one number. Predictive of bankruptcy within 2 years.
Why it matters: Cheap-looking stocks (low P/E or P/B) often have low Z-scores because the market knows the company is dying. Z-score warns you before you fall into a value trap.
Reference: > 3.0 = safe zone · 1.81–3.0 = grey zone · < 1.81 = distress zone
Full explanation →
n/a
Not reliably computable

We can't produce a trustworthy Altman Z here: retained earnings weren't separately reported in our data, so a core input would have to be fabricated. Rather than show a categorical "distress" verdict from an invented number, we mark it unavailable. Judge financial health from the leverage, cash position, and the measurable Piotroski checks instead.

Read with caution for this industry. Automakers (and airlines) run a large captive finance arm, which inflates total assets and liabilities and depresses Altman Z — it routinely reads "distress" even for investment-grade names with full access to capital markets. Treat it as one input, not a literal bankruptcy probability. Weigh it against the company's cash position, near-term debt maturities, and where it sits in the economic cycle.

Piotroski F-Score?Piotroski F-Score — A 9-point quality checklist scoring profitability, leverage, and operating efficiency.
Why it matters: High score = fundamentals improving. Low score = deteriorating. Especially powerful for filtering cheap stocks: cheap + high F-score historically outperforms; cheap + low F-score is often a value trap.
Reference: 7–9 = strong · 4–6 = mediocre · 0–3 = weak
Full explanation →
5 / 9
Mediocre
▾ The checks — what passed, what didn't (and what we couldn't measure)
  • ✗ Positive net income
    Net income -$390.7M in FY2025.
    Why this matters: Does the company actually earn a profit? Sustained losses eventually force it to raise money — diluting you — or take on debt.
  • ✗ Positive operating cash flow
    Operating cash flow -$107.6M (was -$70.2M the prior year).
    Why this matters: Profit can be an accounting figure; cash from running the business is harder to fake. Negative operating cash flow means the core business consumes cash and must be funded externally.
  • ✓ Cash flow backs up reported profit
    Operating cash flow -$107.6M vs net income -$390.7M.
  • ✗ Return on assets improving
    Return on assets -140.6% vs -83.6% a year ago.
    Why this matters: Is the company squeezing more profit out of each dollar of assets than last year? Rising = getting more efficient; falling = the opposite.
  • ✓ Debt load (vs assets)
    The filing reports no interest-bearing debt in either year (total assets $277.9M).
  • ✓ Short-term liquidity (current ratio)
    Current ratio 0.46x vs 0.37x a year ago — improved, but still below 1.0: the ✓ grades the trend, the level remains a caution flag.
  • ✓ Share count (dilution)
    Share count held roughly flat (37.2M → 37.2M year-over-year).
  • ✗ Pricing power (gross margin)
    Gross margin -18,239.9% vs -15,489.8% a year ago.
    Why this matters: Rising gross margin means stronger pricing power or lower input costs — a sign of competitive strength. Falling margin signals pressure.
  • ✓ Sales per asset (asset turnover)
    Asset turnover 0.00x vs 0.00x a year ago.

Missing data is never counted as a pass or a fail — it's shown as n/a and excluded from the denominator. Each check compares the company against its own prior year.

Cash Runway
4 mo
CRITICAL — under 6 months of cash

Plain English: the company holds about $35M in cash and is burning roughly $108M/year in operations. At that pace, the cash lasts 4 mo before it must raise capital (diluting shareholders), take on debt, or cut spending.

Assumes constant burn and ignores financing/asset sales. For pre-profit biotech and growth companies, this matters more than a DCF — a great drug pipeline is worthless if they run out of money before approval.

Price$1.08
Model IVNot applicable — DCF couldn't price this stock. The other valuation lenses on this page (reverse-DCF, peers, sector lens — whichever apply to this filer) carry the read instead.

The market may be paying up for the potential optionality of its electric vehicle technology and future market penetration, which is not captured by the backward-looking model. The biggest risk to our model's base assumptions proving too high is the continuation of negative operating cash flow, which was -$107.6 million in the latest fiscal year.

⚠️ Cyclical sector: using normalized cash flow (median OCF minus estimated maintenance capex).

As of 3 days ago

Anatomy of a share

What you're buying per share. Bars are at the same scale so you can see the relative size of revenue, costs, cash flow, and debt — not just read them in a table.

FFAI Faraday Future Intelligent Electric Inc. stock anatomy showing per-share revenue, operating expenses, free cash flow, and debt
Revenue figure looks incomplete. Net income divided by the revenue we parsed gives a -72,891% margin, which no operating business earns — the revenue tag we read is almost certainly a fragment (a fee line or a single segment), not consolidated sales. We are not drawing the margin breakdown from it, and revenue-per-share on this page should be treated as unreliable until the filing's total-revenue tag resolves.
Plain English: each share (at $1) represents $0.01 of revenue per share per year, $10.50 lost per share per year, and $3.18 of cash burned per share (negative free cash flow) from the latest fiscal year. The filing reports no interest-bearing debt — the 270.1M of total liabilities on the balance sheet are operating items (payables, leases, deferred taxes), not borrowings.
What's free cash flow / what do these mean?

Revenue per share — how much the business earns from customers, divided by the number of shares outstanding. Top of the income statement.

Earnings per share — profit left after operating costs, interest, and taxes, per share. Two versions appear on this page and are not interchangeable: GAAP diluted EPS uses the company's weighted-average diluted share count during the reporting period (this is the "earnings" in "price-to-earnings"); net income per current share divides annual net income by today's share count. They differ whenever the share count has changed.

Owner-earnings free cash flow per share — the cash the business produces for shareholders. Savng's owner-earnings FCF subtracts capital expenditures and stock-based compensation from operating cash flow (SBC is a real dilution cost even though it's non-cash). This is deliberately more conservative than "standard" FCF, which subtracts only capital expenditures — so our figure is lower than the headline FCF you'll see elsewhere. FCF funds dividends, buybacks, debt repayment, and acquisitions; a company can report positive earnings yet negative FCF.

Debt per share — total interest-bearing borrowings divided by shares. High debt-per-share next to thin FCF-per-share is a fragility signal.

What you actually need to decide

Every stock price is a disagreement. Here's the single thing that must go right for the bulls, the single thing that breaks the thesis, and the concrete signposts to watch so you can update your view as real results arrive.

🐂 The Bull Case
For the bull case, the company must achieve significant revenue growth and improve margins to stabilize or grow underlying cash flow around the modeled business rate of +0.4%, while maintaining its debt-free status.
🐻 The Bear Case
The biggest operating risk is that revenue generation fails to materialize significantly, leading to continued negative free cash flow?Free Cash Flow (FCF) — Operating cash flow minus capital spending: cash left after a company covers operating costs, taxes and interest and reinvests in the business — but BEFORE repaying debt principal or paying dividends. The cash actually available to investors.
Why it matters: A company can show big profits on paper while burning through cash. FCF is what actually fills the bank account.
Reference: Healthy mature businesses convert 8–15% of revenue into FCF · Growth companies often negative
Full explanation →
after stock comp, which was -$118.4 million in the latest fiscal year, and further reliance on dilutive financing. The market implies an annual decline of 62.0% in per-share cash flow.
📌 Signposts to watch — update your view as these print
  • Reported vehicle deliveries and sales figures
  • Improvement in operating cash flow from -$107.6 million
  • Progress on production ramp-up and cost efficiencies

The trend, in plain numbers (FY2024 → FY2025, latest reported)

Straight from the financial statements — no model, no opinion. For a small or unprofitable company, the direction of these numbers usually tells you more than any single valuation.

⚠ Worsening
  • Free cash flow is negative at -$118.4M — the cash burn widened vs last year.
  • Gross margin shrank to -18,240% (-2,750 pts).
  • Still unprofitable at -$390.7M — loss widening.

Nothing was clearly improving year-over-year.

Roughly flat: Revenue was flat -1% to $536K.

Management & Leadership

Yueting Jia serves as the Global CEO, while Jiawei Wang is the Executive Chairman.

Yueting Jia
Global CEO — Chief Executive Officer (per SEC Form 4, 2026-08-26)

Global CEO

Jiawei Wang
Executive Chairman (per SEC Form 4, 2026-08-26)

Executive Chairman

Xiao Jiang
Director (per SEC Form 4, 2026-08-26)
Kevin Chen
Director (per SEC Form 3, 2026-05-01)

What They Make

Faraday Future Intelligent Electric Inc. designs and manufactures electric vehicles. The company generates revenue primarily from the sale of its luxury electric vehicles to consumers.

End Markets

Luxury Electric VehiclesAutomotive TechnologyHigh-Performance EVs

Revenue Drivers

Vehicle Sales
Technology Licensing (potential)
Aftermarket Services (potential)
Market Cap: 40.2MBeta: 2.05

Why Is It Priced Like This?

Why Customers Pay

Advanced electric vehicle technology
Luxury segment positioning
Potential for future autonomous features
No discounted-cash-flow value for this filer This company's reported free cash flow is negative, so a discounted-cash-flow valuation has no positive cash stream to discount. That is a fact about the business, not missing data — the reported figures below are complete.

What we use instead: earnings (P/E, EV/EBIT), book value (P/B) — computed from the figures this company does report, shown in the sections below. Those numbers are unaffected by the missing cash-flow data.

This optimism persists despite negative net income and operating cash flow in the latest fiscal year, and a current ratio of 0.46, indicating current liabilities exceed liquid assets.

Business Model & Valuation

How They Make Money

Vehicle Sales
Technology Licensing (potential)
Aftermarket Services (potential)

Normalized FCF

This is the model the pipeline would normally apply to a company like this. Its output failed our checks here, so no intrinsic value is published; the notes below are context, not a valuation.

Show advanced inputs
Revenue Growth-17.3%
Sector Default8.0%
Sector Default SourceConsumer Cyclical sector default
Best Estimate0.4%
Methodblend(30% revenue_cagr, 70% sector)
Growth Basistotal

What this model does NOT do: this is a consolidated owner-earnings cash-flow model. Standalone segment assumptions: none. It does not project its revenue segments independently; their combined effect is embedded in the historical revenue and cash-flow trend the model extrapolates. The calculator above can only approximate a segment's impact through the single consolidated growth rate — it cannot model any one line separately. For a true segment-level view, build a separate model from the company's segment disclosures.

Maturity & Competitive Position

low-growth

Moat Signals

Proprietary EV technology
Brand recognition in luxury EV segment
Early mover advantage in specific EV niches

The company has a track record of negative net income and operating cash flow in the latest fiscal year.

Geography & Markets

Geographic Risks

Market concentration risk in the highly competitive EV sector
Execution risk in scaling production and achieving profitability

Market Signals

These are timing signals, not value signals — they describe the stock's recent price behavior, not what the business is worth. Use them for the "the thesis looks good, but is now the moment?" question. Each tile below explains what it's saying.

Model bearish, tape bearish - aligned.
RSI?RSI — Relative Strength Index — a 0-100 momentum gauge. Above 70 = overbought; below 30 = oversold.
Why it matters: Short-term contrarian indicator. Extreme readings often precede mean reversion, though not always.
Reference: 30–70 normal · >70 overbought · <30 oversold
Full explanation →
(14)
24.2OversoldHeavily sold off recently — sometimes a bounce setup, sometimes a falling knife.
MACD?MACD — Moving Average Convergence Divergence — compares a fast and a slow price trend to gauge momentum direction.
Why it matters: When the fast line crosses above the slow line, short-term momentum is turning up; below, turning down. A timing cue, not a value signal.
Reference: Line above signal = bullish momentum · below = bearish
Full explanation →
BullishLine above signalThe fast trend is above the slow trend — short-term momentum is currently upward.
50-Day Average$2.49Price below (-56.6%)Price below its 50-day average = near-term downtrend.
200-Day Average$54.53Price belowThe 200-day line is the long-term trend divider — above it is generally considered a bull market for the stock.
50 vs 200 CrossDeath50-day below 200-dayA "death cross" — the medium trend is below the long trend (often read as bearish).

Technicals describe price, not the business. A great company can have a "bearish" tape (a buying chance) and a weak one a "bullish" tape (a trap). Pair these with the valuation and health sections above.

Data Quality & Risk Flags (9 notes — click to expand/collapse)

Guardrail Notes (7)
  • Median OCF is negative — OCF-based normalization not applicable.
  • Normalized OCF-capex was negative. Falling back to median raw FCF.
  • No positive normalized FCF. Using EPS as proxy.
  • Terminal growth set to 0.3% — the lowest of the applicable caps (binding: 80% of near-term growth (0.4%)). We use one effective terminal rate everywhere on the page.
  • Model implies no positive equity value under these assumptions. Valuation is speculative/low-confidence.
  • Illiquidity discount 25% applied (small/micro-cap — harder to exit, demand a margin).
  • Extreme valuation gap (P/IV withheld — see the note above): result may be dominated by model assumptions, share count issues, or sector-specific dynamics. Treat as low confidence.

Financial Statements (5-year tables — click to expand)

From Faraday Future Intelligent Electric Inc.'s SEC filings (EDGAR).

Income (5yr)

YearRevenueNet IncomeEPS
2025536,000-390.7M$-10.50
2024539,000-355.8M$-9.56
2023784,000-431.7M$-11.60
2022—-602.2M$-16.19
2021—-516.5M$-13.88

Cash Flow (5yr)

YearOperating CFCapEx− SBCFree Cash Flow
2025 -107.6M 7.6M 3.2M -118.4M
2024 -70.2M 7.6M 8.4M -86.1M
2023 -278.2M 31.1M 9.2M -318.5M
2022 -383.1M 123.2M 17.7M -523.9M
2021 -339.8M 95.7M 11.3M -446.8M

How we define FCF: operating cash flow − capital expenditure − stock-based compensation (owner-earnings basis — SBC is a real cost to shareholders even though it's non-cash). Latest year: -107.6M − 7.6M − 3.2M (stock-based comp) = -118.4M. This is the same owner-earnings FCF definition the valuation model uses, though the DCF's starting value is a mid-cycle estimate (median operating cash flow less estimated maintenance capex and stock compensation — by design NOT the table's FCF, which deducts every year's full capex), not this single year.

Balance Sheet

Total Assets277.9M
Total Liabilities270.1M
Equity-27.3M

Similar companies worth a look

Same sector and industry, similar fundamentals shape. Verify everything yourself — this list is computed mechanically and does not reflect our judgment about whether any of these are a good investment.

Methodology by Pouyan Golshani, MD — founder of Gighz. Savng was built by a physician for busy professionals: every number on this page comes from SEC filings (EDGAR) and FINRA data through transparent, rules-based models — no analyst opinions, no hidden inputs. How we calculate every number →

The questions people ask about FFAI

Is Faraday Future Intelligent Electric Inc. (FFAI) a good stock to buy?

We do not publish a single fair value for Faraday Future Intelligent Electric Inc., because one number would not be reliable for this business (the page explains why). Judge it on what today's price assumes, its financial-health checks and what insiders are doing, all shown here from SEC filings. This is educational research from SEC filings, not investment advice.

Is Faraday Future Intelligent Electric Inc. (FFAI) overvalued?

A single fair-value number is not reliable for Faraday Future Intelligent Electric Inc., so we do not call it overvalued or undervalued. The page shows what growth today's price assumes and how the company's finances look instead. This is educational research from SEC filings, not investment advice.

Where do these numbers come from?

From Faraday Future Intelligent Electric Inc.'s own SEC filings (10-K and 10-Q), Form 4 insider filings and daily market prices. Every figure on the page links to how it was calculated, and the model's weak spots are listed next to its results.

⚠️ Not investment advice. Automated model outputs, last refreshed 3 days ago (the analysis-refresh date, not the latest filing period). All models have blind spots. Full disclaimer →
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