Oshkosh (OSK) Price to Earnings (2009 - 2026)
Oshkosh (OSK) posted Price to Earnings of 52.01 for Q2 2026, down 75.02% on a QoQ basis from 208.18 in Q1 2026, and up 47.02% year-over-year from 35.38 in Q2 2025.
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Analysis
Oshkosh (OSK) Price to Earnings (2009 - 2026) Analysis & Trends
Oshkosh has reported Price to Earnings for 18 years, with the latest figure at 52.01 in Q2 2026.
- On a quarterly basis, Price to Earnings rose 47.02% year-over-year to 52.01 in Q2 2026; TTM through Jun 2026 was 17.03, a 49.09% increase from a year earlier, with the FY2025 full-year figure at 12.09, up 32.87% from the prior year.
- Price to Earnings was 52.01 for Q2 2026 at Oshkosh, down from 208.18 in the prior quarter.
- The five-year high for Price to Earnings was 13244.52 in Q1 2022, with the low at 755.11 in Q4 2023.
- Average Price to Earnings over 5 years is 789.59, with a median of 44.82 recorded in 2024.
- The sharpest annual moves came in 2022 and 2023: Price to Earnings jumped 16085.41% in 2022, then tumbled 2022.43% in 2023.
- Over 5 years, Price to Earnings stood at 39.28 in 2022, then sank by 2022.43% to 755.11 in 2023, then soared by 105.99% to 45.23 in 2024, then increased by 29.75% to 58.68 in 2025, then dropped by 11.37% to 52.01 in 2026.
- The last three Price to Earnings figures came in at 52.01 (Q2 2026), 208.18 (Q1 2026), and 58.68 (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 | Oshkosh | 8.53 Bn | 8.13 Bn | 480.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 52.01 |
| Mar 31, 2026 | 208.18 |
| Dec 31, 2025 | 58.68 |
| Sep 30, 2025 | 41.86 |
| Jun 30, 2025 | 35.38 |
| Mar 31, 2025 | 53.18 |
| Dec 31, 2024 | 45.23 |
| Sep 30, 2024 | 35.92 |
| Jun 30, 2024 | 40.15 |
| Mar 31, 2024 | 44.82 |
| Dec 31, 2023 | -755.11 |
| Sep 30, 2023 | 33.54 |
| Jun 30, 2023 | 32.26 |
| Mar 31, 2023 | 57.07 |
| Dec 31, 2022 | 39.28 |
| Jun 30, 2022 | 156.09 |
| Mar 31, 2022 | 13,244.52 |
| Sep 30, 2021 | 14.09 |
| Jun 30, 2021 | 24.65 |
| Mar 31, 2021 | 81.83 |
API Access
Oshkosh 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=OSK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "OSK", "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=OSK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();