Oshkosh (OSK) Finished Goods (2012 - 2026)
Oshkosh (OSK) posted Finished Goods of $452.5 million for Q2 2026, down 22.42% on a QoQ basis from $583.3 million in Q1 2026, and down 26.19% year-over-year from $613.1 million in Q2 2025.
Oshkosh (OSK) Finished Goods (2012 - 2026) Analysis & Trends
Oshkosh has reported Finished Goods for 14 years, with the latest figure at $452.5 million in Q2 2026.
- On a quarterly basis, Finished Goods fell 26.19% year-over-year to $452.5 million in Q2 2026; TTM through Jun 2026 was $452.5 million, a 26.19% decrease from a year earlier, with the FY2025 full-year figure at $476.9 million, down 20.86% from the prior year.
- Finished Goods was $452.5 million for Q2 2026 at Oshkosh, down from $583.3 million in the prior quarter.
- The five-year high for Finished Goods was $716.6 million in Q1 2025, with the low at $341.9 million in Q4 2022.
- Average Finished Goods over 5 years is $532.8 million, with a median of $559.5 million recorded in 2024.
- The sharpest annual moves came in 2022 and 2026: Finished Goods jumped 43.29% in 2022, then declined 26.19% in 2026.
- Over 5 years, Finished Goods stood at $341.9 million in 2022, then increased by 23.34% to $421.7 million in 2023, then soared by 42.9% to $602.6 million in 2024, then decreased by 20.86% to $476.9 million in 2025, then retreated by 5.12% to $452.5 million in 2026.
- The last three Finished Goods figures came in at $452.5 million (Q2 2026), $583.3 million (Q1 2026), and $476.9 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 | 452.50 Mn |
| Mar 31, 2026 | 583.30 Mn |
| Dec 31, 2025 | 476.90 Mn |
| Sep 30, 2025 | 552.10 Mn |
| Jun 30, 2025 | 613.10 Mn |
| Mar 31, 2025 | 716.60 Mn |
| Dec 31, 2024 | 602.60 Mn |
| Sep 30, 2024 | 566.90 Mn |
| Dec 31, 2023 | 421.70 Mn |
| Dec 31, 2022 | 341.90 Mn |
| Dec 31, 2021 | 238.60 Mn |
| Sep 30, 2021 | 264.10 Mn |
| Mar 31, 2019 | 559.40 Mn |
| Sep 30, 2018 | 330.20 Mn |
| Mar 31, 2018 | 434.50 Mn |
| Sep 30, 2017 | 398.10 Mn |
| Jun 30, 2017 | 504.90 Mn |
| Mar 31, 2017 | 503.60 Mn |
| Sep 30, 2016 | 286.90 Mn |
| Jun 30, 2016 | 485.80 Mn |
Oshkosh Finished Goods 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=finished-goods&ticker=OSK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "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=finished-goods&ticker=OSK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();