Ask AI to review this stock
Copy the prompt to get recent events, historical reactions, and a short research brief.
Tell your AI:
Help me set up FinLab and analyze GT The Goodyear Tire & Rubber Company. Please read: https://finlab.finance/en/setup?stock=GT
GT
quality needs a look, fair valuation, no active signal today.
Is The Goodyear Tire & Rubber Company a buy? Fundamentals and valuation first
-
Quality is weaker than peers. Operating margin is only around the 41th percentile. TTM ROE is about -69.4%.
-
Valuation is middle-of-pack. TTM P/E is near the 34th percentile.
-
Recent volatility is moderate. 60-day annualized volatility is near the 53th percentile. Average 20-day dollar volume is about $82.2M.
Historical evidence
Valuation regime and forward returns
Daily TTM P/E is converted into an expanding own-history percentile, then grouped into five valuation regimes. Forward returns use adjusted prices over the next 240 trading days.
| PE percentile band | Sample days | 240-day avg return | Median | Win rate | Avg excess (vs index) |
|---|---|---|---|---|---|
| 0-20 You are here | 232 | -6% | -5.6% | 39.2% | -31.9% |
| 20-40 | 0 | Insufficient data | |||
| 40-60 | 1 | Insufficient data | |||
| 60-80 | 124 | -37.1% | -38.3% | 0% | -59.9% |
| 80-100 | 73 | -29.1% | -29.7% | 0% | -18.9% |
Quarterly EPS is aligned by SEC filing date before it is forward-filled to daily prices. The expanding percentile uses only information available up to each day.
Current TTM P/E is about 4.85, placing it in the 14.8 own-history percentile, inside the 0-20 bucket.
Valuation × momentum analogs
Each historical day is grouped by own-history P/E tercile and 60-day momentum direction, then tested for the next 120-trading-day adjusted return.
Currently in “Cheap (own-history bottom third) × 60-day momentum down”: across 169 historical days, 120-day forward avg gained 2.5%, win rate 37.9%, beat the market by 1.7%.
Days = trading days in this bucket; returns use adjusted prices, ex-costs. 60-day momentum: direction of this stock's price over the past 60 trading days.
Market-wide momentum baseline
Across 96,376 liquid US common-stock samples, top-quintile 6-month momentum was followed by an average 60-trading-day return of +6.34%, a 58.2% positive-return rate, and +2.98 percentage points of average excess return versus the S&P 500.
Baseline: weekly samples since 2016 where a liquid US common stock ranked in the top quintile by 126-trading-day momentum. Forward return is 60 trading days; excess return is versus S&P 500 (^GSPC).
Signals not active now
Inactive signals still show the stock-specific historical forward-return distribution for context.
52-week adjusted-price high
PendingAdjusted close first reaches a 252-trading-day high; repeated hits within 20 days count once.
6 times historically; 60-day forward avg +2.02%, win rate 50%, beating the market by -0.31 pts on average.
Top-quintile 6-month momentum
PendingThe stock ranks in the top 20% of the liquid US common-stock universe by 126-day adjusted return.
13 times historically; 60-day forward avg -6.76%, win rate 38.5%, beating the market by -11.89 pts on average.
Filed revenue acceleration
PendingTTM revenue growth is at least 10% and improved versus the prior filed quarter; event date is the SEC filing date.
EPS surprise beat
PendingReported EPS beat consensus estimate by at least 5%; event date is the earnings-surprise timestamp.
28 times historically; 60-day forward avg +2.87%, win rate 52%, beating the market by -1.16 pts on average.
Method and limits
- Returns use us_price:adj_close, adjusted for splits and dividends where available.
- Excess returns use world_index:^GSPC as the S&P 500 benchmark proxy.
- Quarterly fundamentals are aligned to SEC filing dates before daily valuation studies.
- The promoted universe starts from active NYSE/NASDAQ common stocks, then applies price and dollar-volume gates.
- Snapshot-only tables such as analyst consensus, DCF, us_ratios, and us_key_metrics are intentionally excluded from historical evidence.
- Overlapping event windows are descriptive distributions, not independent samples.
This page is for historical data analysis and education only. It is not investment advice. Backtests and historical return distributions do not predict future performance; evaluate risk independently before trading.