Caterpillar (CAT) Price to Earnings (2009 - 2026)
Caterpillar (CAT) posted Price to Earnings of 136.25 for Q2 2026, up 6.42% on a QoQ basis from 128.03 in Q1 2026, and up 63.23% year-over-year from 83.47 in Q2 2025.
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Analysis
Caterpillar (CAT) Price to Earnings (2009 - 2026) Analysis & Trends
Caterpillar has reported Price to Earnings for 18 years, with the latest figure at 136.25 in Q2 2026.
- On a quarterly basis, Price to Earnings rose 63.23% year-over-year to 136.25 in Q2 2026; TTM through Jun 2026 was 45.14, a 134.23% increase from a year earlier, with the FY2025 full-year figure at 30.0, up 86.77% from the prior year.
- Price to Earnings was 136.25 for Q2 2026 at Caterpillar, up from 128.03 in the prior quarter.
- The five-year high for Price to Earnings was 136.25 in Q2 2026, with the low at 41.84 in Q3 2022.
- Average Price to Earnings over 5 years is 75.8, with a median of 69.71 recorded in 2024.
- The sharpest annual moves came in 2022 and 2025: Price to Earnings tumbled 42.55% in 2022, then surged 78.64% in 2025.
- Over 5 years, Price to Earnings stood at 85.07 in 2022, then tumbled by 35.14% to 55.18 in 2023, then rose by 12.58% to 62.12 in 2024, then soared by 78.64% to 110.97 in 2025, then gained by 22.78% to 136.25 in 2026.
- The last three Price to Earnings figures came in at 136.25 (Q2 2026), 128.03 (Q1 2026), and 110.97 (Q4 2025), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 371.58 Bn | 364.86 Bn | 7.76 Bn |
| 2 | Amphenol | 204.28 Bn | 198.29 Bn | 3.55 Bn |
| 3 | Deere | 189.58 Bn | 180.70 Bn | 12.32 Bn |
| 4 | Eaton | 171.87 Bn | 171.22 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 121.60 Bn | 121.11 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 97.62 Bn | 94.51 Bn | 1.23 Bn |
| 7 | 3M | 87.32 Bn | 84.04 Bn | 2.68 Bn |
| 8 | Emerson Electric | 86.05 Bn | 83.88 Bn | 2.66 Bn |
| 9 | Illinois Tool Works | 77.02 Bn | 76.18 Bn | 1.90 Bn |
| 10 | Cummins | 72.43 Bn | 68.82 Bn | 2.47 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 136.25 |
| Mar 31, 2026 | 128.03 |
| Dec 31, 2025 | 110.97 |
| Sep 30, 2025 | 97.09 |
| Jun 30, 2025 | 83.47 |
| Mar 31, 2025 | 77.56 |
| Dec 31, 2024 | 62.12 |
| Sep 30, 2024 | 76.64 |
| Jun 30, 2024 | 60.25 |
| Mar 31, 2024 | 62.78 |
| Dec 31, 2023 | 55.18 |
| Sep 30, 2023 | 49.74 |
| Jun 30, 2023 | 42.96 |
| Mar 31, 2023 | 60.76 |
| Dec 31, 2022 | 85.07 |
| Sep 30, 2022 | 41.84 |
| Jun 30, 2022 | 56.41 |
| Mar 31, 2022 | 77.33 |
| Dec 31, 2021 | 52.26 |
| Sep 30, 2021 | 72.82 |
API Access
Caterpillar Price to Earnings API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=price-to-earnings&ticker=CAT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "CAT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=price-to-earnings&ticker=CAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();