Oshkosh (OSK) Operating Expenses (2009 - 2026)
Oshkosh (OSK) posted Operating Expenses of $237.1 million for Q2 2026, up 3.13% on a QoQ basis from $229.9 million in Q1 2026, and up 1.85% year-over-year from $232.8 million in Q2 2025.
Oshkosh (OSK) Operating Expenses (2009 - 2026) Analysis & Trends
Oshkosh has reported Operating Expenses for 18 years, with the latest figure at $237.1 million in Q2 2026.
- On a quarterly basis, Operating Expenses rose 1.85% year-over-year to $237.1 million in Q2 2026; TTM through Jun 2026 was $889.2 million, a 3.4% decrease from a year earlier, with the FY2025 full-year figure at $879.5 million, down 8.26% from the prior year.
- Operating Expenses was $237.1 million for Q2 2026 at Oshkosh, up from $229.9 million in the prior quarter.
- The five-year high for Operating Expenses was $342.7 million in Q2 2022, with the low at $172.0 million in Q1 2022.
- Average Operating Expenses over 5 years is $228.9 million, with a median of $224.0 million recorded in 2024.
- The sharpest annual moves came in 2023 and 2024: Operating Expenses slumped 44.67% in 2023, then soared 50.42% in 2024.
- Over 5 years, Operating Expenses stood at $342.7 million in 2022, then slumped by 30.26% to $239.0 million in 2023, then dropped by 6.53% to $223.4 million in 2024, then declined by 5.06% to $212.1 million in 2025, then advanced by 11.79% to $237.1 million in 2026.
- The last three Operating Expenses figures came in at $237.1 million (Q2 2026), $229.9 million (Q1 2026), and $212.1 million (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 371.58 Bn | 364.86 Bn | 7.76 Bn | 16.25 Bn |
| 2 | Amphenol | 204.28 Bn | 198.29 Bn | 3.55 Bn | 963.40 Mn |
| 3 | Deere | 189.58 Bn | 180.70 Bn | 12.32 Bn | 10.73 Bn |
| 4 | Eaton | 171.87 Bn | 171.22 Bn | 2.86 Bn | 1.46 Bn |
| 5 | Parker-Hannifin | 121.60 Bn | 121.11 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Vertiv Holdings | 97.62 Bn | 94.51 Bn | 1.23 Bn | 490.50 Mn |
| 7 | 3M | 87.32 Bn | 84.04 Bn | 2.68 Bn | 5.52 Bn |
| 8 | Emerson Electric | 86.05 Bn | 83.88 Bn | 2.66 Bn | 1.34 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 | 237.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 237.10 Mn |
| Mar 31, 2026 | 229.90 Mn |
| Dec 31, 2025 | 212.10 Mn |
| Sep 30, 2025 | 210.10 Mn |
| Jun 30, 2025 | 232.80 Mn |
| Mar 31, 2025 | 224.50 Mn |
| Dec 31, 2024 | 223.40 Mn |
| Sep 30, 2024 | 239.80 Mn |
| Jun 30, 2024 | 285.20 Mn |
| Mar 31, 2024 | 210.30 Mn |
| Dec 31, 2023 | 239.00 Mn |
| Sep 30, 2023 | 211.60 Mn |
| Jun 30, 2023 | 189.60 Mn |
| Mar 31, 2023 | 203.00 Mn |
| Jun 30, 2022 | 342.70 Mn |
| Mar 31, 2022 | 172.00 Mn |
| Sep 30, 2021 | 529.40 Mn |
| Jun 30, 2021 | 355.10 Mn |
| Mar 31, 2021 | 174.30 Mn |
| Dec 31, 2020 | 146.70 Mn |
Oshkosh Operating Expenses 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=operating-expenses&ticker=OSK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=OSK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();