Oshkosh (OSK) Other Operating Expenses (2009 - 2026)
Oshkosh (OSK) posted Other Operating Expenses of $14.4 million for Q2 2026, up 0.7% on a QoQ basis from $14.3 million in Q1 2026, and down 26.15% year-over-year from $19.5 million in Q2 2025.
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Analysis
Oshkosh (OSK) Other Operating Expenses (2009 - 2026) Analysis & Trends
Oshkosh has reported Other Operating Expenses for 18 years, with the latest figure at $14.4 million in Q2 2026.
- On a quarterly basis, Other Operating Expenses fell 26.15% year-over-year to $14.4 million in Q2 2026; TTM through Jun 2026 was $56.5 million, a 6.77% decrease from a year earlier, with the FY2025 full-year figure at $60.8 million, down 42.8% from the prior year.
- Other Operating Expenses was $14.4 million for Q2 2026 at Oshkosh, up from $14.3 million in the prior quarter.
- The five-year high for Other Operating Expenses was $65.2 million in Q2 2024, with the low at $2.8 million in Q1 2022.
- Average Other Operating Expenses over 5 years is $14.8 million, with a median of $13.7 million recorded in 2024.
- The sharpest annual moves came in 2024 and 2025: Other Operating Expenses soared 1452.38% in 2024, then sank 70.09% in 2025.
- Over 5 years, Other Operating Expenses stood at $5.6 million in 2022, then soared by 162.5% to $14.7 million in 2023, then retreated by 3.4% to $14.2 million in 2024, then fell by 2.11% to $13.9 million in 2025, then gained by 3.6% to $14.4 million in 2026.
- The last three Other Operating Expenses figures came in at $14.4 million (Q2 2026), $14.3 million (Q1 2026), and $13.9 million (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 | 14.40 Mn |
| Mar 31, 2026 | 14.30 Mn |
| Dec 31, 2025 | 13.90 Mn |
| Sep 30, 2025 | 13.90 Mn |
| Jun 30, 2025 | 19.50 Mn |
| Mar 31, 2025 | 13.50 Mn |
| Dec 31, 2024 | 14.20 Mn |
| Sep 30, 2024 | 13.40 Mn |
| Jun 30, 2024 | 65.20 Mn |
| Mar 31, 2024 | 13.50 Mn |
| Dec 31, 2023 | 14.70 Mn |
| Sep 30, 2023 | 10.00 Mn |
| Jun 30, 2023 | 4.20 Mn |
| Mar 31, 2023 | 3.90 Mn |
| Jun 30, 2022 | 5.60 Mn |
| Mar 31, 2022 | 2.80 Mn |
| Sep 30, 2021 | 8.30 Mn |
| Jun 30, 2021 | 5.50 Mn |
| Mar 31, 2021 | 2.30 Mn |
| Dec 31, 2020 | 1.30 Mn |
API Access
Oshkosh Other 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=other-operating-expenses&ticker=OSK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=OSK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();