Oshkosh (OSK) Total Liabilities (2009 - 2026)
Oshkosh (OSK) posted Total Liabilities of $5.5 billion for Q2 2026, up 0.54% on a QoQ basis from $5.5 billion in Q1 2026, and down 0.67% year-over-year from $5.6 billion in Q2 2025.
Oshkosh (OSK) Total Liabilities (2009 - 2026) Analysis & Trends
Oshkosh has reported Total Liabilities for 18 years, with the latest figure at $5.5 billion in Q2 2026.
- On a quarterly basis, Total Liabilities fell 0.67% year-over-year to $5.5 billion in Q2 2026; TTM through Jun 2026 was $5.5 billion, a 0.67% decrease from a year earlier, with the FY2025 full-year figure at $5.5 billion, up 5.14% from the prior year.
- Total Liabilities was $5.5 billion for Q2 2026 at Oshkosh, up from $5.5 billion in the prior quarter.
- The five-year high for Total Liabilities was $5.8 billion in Q2 2024, with the low at $3.8 billion in Q2 2022.
- Average Total Liabilities over 5 years is $5.1 billion, with a median of $5.4 billion recorded in 2023.
- The sharpest annual moves came in 2023 and 2025: Total Liabilities surged 35.14% in 2023, then slipped 8.15% in 2025.
- Over 5 years, Total Liabilities stood at $4.5 billion in 2022, then grew by 19.38% to $5.4 billion in 2023, then decreased by 2.82% to $5.3 billion in 2024, then climbed by 5.14% to $5.5 billion in 2025, then slipped by 0.32% to $5.5 billion in 2026.
- The last three Total Liabilities figures came in at $5.5 billion (Q2 2026), $5.5 billion (Q1 2026), and $5.5 billion (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 371.58 Bn | 364.86 Bn | 7.76 Bn | 83.22 Bn |
| 2 | Amphenol | 204.28 Bn | 198.29 Bn | 3.55 Bn | 29.18 Bn |
| 3 | Deere | 189.58 Bn | 180.70 Bn | 12.32 Bn | 79.57 Bn |
| 4 | Eaton | 171.87 Bn | 171.22 Bn | 2.86 Bn | 35.88 Bn |
| 5 | Parker-Hannifin | 121.60 Bn | 121.11 Bn | 2.25 Bn | 15.46 Bn |
| 6 | Vertiv Holdings | 97.62 Bn | 94.51 Bn | 1.23 Bn | 11.14 Bn |
| 7 | 3M | 87.32 Bn | 84.04 Bn | 2.68 Bn | 31.92 Bn |
| 8 | Emerson Electric | 86.05 Bn | 83.88 Bn | 2.66 Bn | 21.81 Bn |
| 9 | Illinois Tool Works | 77.02 Bn | 76.18 Bn | 1.90 Bn | 13.60 Bn |
| 10 | Oshkosh | 8.53 Bn | 8.13 Bn | 480.30 Mn | 5.52 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.52 Bn |
| Mar 31, 2026 | 5.49 Bn |
| Dec 31, 2025 | 5.54 Bn |
| Sep 30, 2025 | 5.30 Bn |
| Jun 30, 2025 | 5.56 Bn |
| Mar 31, 2025 | 5.53 Bn |
| Dec 31, 2024 | 5.27 Bn |
| Sep 30, 2024 | 5.77 Bn |
| Jun 30, 2024 | 5.80 Bn |
| Mar 31, 2024 | 5.65 Bn |
| Dec 31, 2023 | 5.42 Bn |
| Sep 30, 2023 | 5.31 Bn |
| Jun 30, 2023 | 4.65 Bn |
| Mar 31, 2023 | 4.67 Bn |
| Dec 31, 2022 | 4.54 Bn |
| Sep 30, 2022 | 3.93 Bn |
| Jun 30, 2022 | 3.85 Bn |
| Mar 31, 2022 | 3.88 Bn |
| Dec 31, 2021 | 3.65 Bn |
| Sep 30, 2021 | 3.68 Bn |
Oshkosh Total Liabilities 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=total-liabilities&ticker=OSK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=OSK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();