Oshkosh (OSK) Other Accumulated Expenses (2009 - 2026)
Oshkosh (OSK) posted Other Accumulated Expenses of $516.1 million for Q2 2026, up 3.84% on a QoQ basis from $497.0 million in Q1 2026, and up 18.97% year-over-year from $433.8 million in Q2 2025.
Oshkosh (OSK) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
Oshkosh has reported Other Accumulated Expenses for 18 years, with the latest figure at $516.1 million in Q2 2026.
- On a quarterly basis, Other Accumulated Expenses rose 18.97% year-over-year to $516.1 million in Q2 2026; TTM through Jun 2026 was $516.1 million, a 18.97% increase from a year earlier, with the FY2025 full-year figure at $492.8 million, up 10.37% from the prior year.
- Other Accumulated Expenses was $516.1 million for Q2 2026 at Oshkosh, up from $497.0 million in the prior quarter.
- The five-year high for Other Accumulated Expenses was $516.1 million in Q2 2026, with the low at $348.8 million in Q1 2022.
- Average Other Accumulated Expenses over 5 years is $428.4 million, with a median of $435.2 million recorded in 2023.
- The sharpest annual moves came in 2023 and 2025: Other Accumulated Expenses grew 21.25% in 2023, then decreased 5.74% in 2025.
- Over 5 years, Other Accumulated Expenses stood at $373.4 million in 2022, then rose by 18.56% to $442.7 million in 2023, then gained by 0.86% to $446.5 million in 2024, then gained by 10.37% to $492.8 million in 2025, then increased by 4.73% to $516.1 million in 2026.
- The last three Other Accumulated Expenses figures came in at $516.1 million (Q2 2026), $497.0 million (Q1 2026), and $492.8 million (Q4 2025), per Business Quant data.
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
| Date | Value |
|---|---|
| Jun 30, 2026 | 516.10 Mn |
| Mar 31, 2026 | 497.00 Mn |
| Dec 31, 2025 | 492.80 Mn |
| Sep 30, 2025 | 451.30 Mn |
| Jun 30, 2025 | 433.80 Mn |
| Mar 31, 2025 | 415.50 Mn |
| Dec 31, 2024 | 446.50 Mn |
| Sep 30, 2024 | 469.80 Mn |
| Jun 30, 2024 | 460.20 Mn |
| Mar 31, 2024 | 428.30 Mn |
| Dec 31, 2023 | 442.70 Mn |
| Sep 30, 2023 | 436.50 Mn |
| Jun 30, 2023 | 407.60 Mn |
| Mar 31, 2023 | 379.00 Mn |
| Dec 31, 2022 | 373.40 Mn |
| Sep 30, 2022 | 360.00 Mn |
| Jun 30, 2022 | 352.30 Mn |
| Mar 31, 2022 | 348.80 Mn |
| Dec 31, 2021 | 364.20 Mn |
| Sep 30, 2021 | 357.00 Mn |
Oshkosh Other Accumulated 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-accumulated-expenses&ticker=OSK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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-accumulated-expenses&ticker=OSK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();