Oshkosh (OSK) Inventory Average (2010 - 2026)
Oshkosh (OSK) posted Inventory Average of $2.4 billion for Q2 2026, down 1.36% on a QoQ basis from $2.4 billion in Q1 2026, and down 3.45% year-over-year from $2.5 billion in Q2 2025.
Oshkosh (OSK) Inventory Average (2010 - 2026) Analysis & Trends
Oshkosh has reported Inventory Average for 17 years, with the latest figure at $2.4 billion in Q2 2026.
- On a quarterly basis, Inventory Average fell 3.45% year-over-year to $2.4 billion in Q2 2026; TTM through Jun 2026 was $2.4 billion, a 3.45% decrease from a year earlier, with the FY2025 full-year figure at $2.3 billion, up 5.54% from the prior year.
- Inventory Average was $2.4 billion for Q2 2026 at Oshkosh, down from $2.4 billion in the prior quarter.
- The five-year high for Inventory Average was $2.5 billion in Q2 2025, with the low at $1.6 billion in Q1 2022.
- Average Inventory Average over 5 years is $2.1 billion, with a median of $2.2 billion recorded in 2024.
- The sharpest annual moves came in 2022 and 2026: Inventory Average climbed 29.37% in 2022, then slipped 3.45% in 2026.
- Over 5 years, Inventory Average stood at $1.9 billion in 2022, then climbed by 11.45% to $2.1 billion in 2023, then grew by 10.47% to $2.3 billion in 2024, then advanced by 5.36% to $2.4 billion in 2025, then slipped by 0.17% to $2.4 billion in 2026.
- The last three Inventory Average figures came in at $2.4 billion (Q2 2026), $2.4 billion (Q1 2026), and $2.4 billion (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory Avg. (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 371.58 Bn | 364.86 Bn | 7.76 Bn | 20.13 Bn |
| 2 | Amphenol | 204.28 Bn | 198.29 Bn | 3.55 Bn | 4.32 Bn |
| 3 | Deere | 189.58 Bn | 180.70 Bn | 12.32 Bn | 10.63 Bn |
| 4 | Eaton | 171.87 Bn | 171.22 Bn | 2.86 Bn | 5.28 Bn |
| 5 | Parker-Hannifin | 121.60 Bn | 121.11 Bn | 2.25 Bn | 3.17 Bn |
| 6 | Vertiv Holdings | 97.62 Bn | 94.51 Bn | 1.23 Bn | 2.18 Bn |
| 7 | 3M | 87.32 Bn | 84.04 Bn | 2.68 Bn | 3.73 Bn |
| 8 | Emerson Electric | 86.05 Bn | 83.88 Bn | 2.66 Bn | 2.48 Bn |
| 9 | Illinois Tool Works | 77.02 Bn | 76.18 Bn | 1.90 Bn | 1.74 Bn |
| 10 | Oshkosh | 8.53 Bn | 8.13 Bn | 480.30 Mn | 2.41 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.41 Bn |
| Mar 31, 2026 | 2.45 Bn |
| Dec 31, 2025 | 2.42 Bn |
| Sep 30, 2025 | 2.48 Bn |
| Jun 30, 2025 | 2.50 Bn |
| Mar 31, 2025 | 2.38 Bn |
| Dec 31, 2024 | 2.29 Bn |
| Sep 30, 2024 | 2.27 Bn |
| Jun 30, 2024 | 2.21 Bn |
| Mar 31, 2024 | 2.17 Bn |
| Dec 31, 2023 | 2.08 Bn |
| Sep 30, 2023 | 1.96 Bn |
| Jun 30, 2023 | 1.90 Bn |
| Mar 31, 2023 | 1.89 Bn |
| Dec 31, 2022 | 1.86 Bn |
| Sep 30, 2022 | 1.81 Bn |
| Jun 30, 2022 | 1.73 Bn |
| Mar 31, 2022 | 1.63 Bn |
| Dec 31, 2021 | 1.48 Bn |
| Sep 30, 2021 | 1.40 Bn |
Oshkosh Inventory Average 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=inventory-average&ticker=OSK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory-average", "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=inventory-average&ticker=OSK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();