Oshkosh (OSK) Accumulated Expenses (2009 - 2026)
Oshkosh (OSK) posted Accumulated Expenses of $194.4 million for Q2 2026, up 9.03% on a QoQ basis from $178.3 million in Q1 2026, and down 4.05% year-over-year from $202.6 million in Q2 2025.
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Analysis
Oshkosh (OSK) Accumulated Expenses (2009 - 2026) Analysis & Trends
Oshkosh has reported Accumulated Expenses for 18 years, with the latest figure at $194.4 million in Q2 2026.
- On a quarterly basis, Accumulated Expenses fell 4.05% year-over-year to $194.4 million in Q2 2026; TTM through Jun 2026 was $194.4 million, a 4.05% decrease from a year earlier, with the FY2025 full-year figure at $218.4 million, down 11.29% from the prior year.
- Accumulated Expenses was $194.4 million for Q2 2026 at Oshkosh, up from $178.3 million in the prior quarter.
- The five-year high for Accumulated Expenses was $246.2 million in Q4 2024, with the low at $119.5 million in Q4 2022.
- Average Accumulated Expenses over 5 years is $184.8 million, with a median of $185.0 million recorded in 2024.
- The sharpest annual moves came in 2022 and 2023: Accumulated Expenses slumped 38.63% in 2022, then surged 102.93% in 2023.
- Over 5 years, Accumulated Expenses stood at $119.5 million in 2022, then jumped by 102.93% to $242.5 million in 2023, then rose by 1.53% to $246.2 million in 2024, then declined by 11.29% to $218.4 million in 2025, then slipped by 10.99% to $194.4 million in 2026.
- The last three Accumulated Expenses figures came in at $194.4 million (Q2 2026), $178.3 million (Q1 2026), and $218.4 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 | 194.40 Mn |
| Mar 31, 2026 | 178.30 Mn |
| Dec 31, 2025 | 218.40 Mn |
| Sep 30, 2025 | 222.20 Mn |
| Jun 30, 2025 | 202.60 Mn |
| Mar 31, 2025 | 173.40 Mn |
| Dec 31, 2024 | 246.20 Mn |
| Sep 30, 2024 | 236.30 Mn |
| Jun 30, 2024 | 191.70 Mn |
| Mar 31, 2024 | 158.40 Mn |
| Dec 31, 2023 | 242.50 Mn |
| Sep 30, 2023 | 214.20 Mn |
| Jun 30, 2023 | 165.00 Mn |
| Mar 31, 2023 | 146.90 Mn |
| Dec 31, 2022 | 119.50 Mn |
| Sep 30, 2022 | 132.00 Mn |
| Jun 30, 2022 | 146.80 Mn |
| Mar 31, 2022 | 138.50 Mn |
| Dec 31, 2021 | 118.40 Mn |
| Sep 30, 2021 | 215.10 Mn |
API Access
Oshkosh 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=accumulated-expenses&ticker=OSK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=accumulated-expenses&ticker=OSK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();