Oshkosh (OSK) Depreciation and Depletion (2010 - 2026)
Oshkosh (OSK) posted Depreciation and Depletion of $40.6 million for Q2 2026, up 18.7% from $34.2 million a year earlier and up 2.3% from the prior quarter.
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Analysis
Oshkosh (OSK) Depreciation and Depletion (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Depreciation and Depletion at Oshkosh was $155.2 million, up 21.7% year-over-year; for FY2025, it was $140.7 million, up 22.3% from FY2024.
- Annual Depreciation and Depletion has increased for four consecutive years, with a five-year compound annual growth rate of 9.6% (FY2020 to FY2025).
- In prior years, Oshkosh's Depreciation and Depletion was $115 million in FY2024 (+11.4%), $103.2 million in FY2023 (+21.8%), $84.7 million in FY2022 (+290.3%) and $21.7 million in FY2021.
- The Q2 2026 figure stands as the highest quarterly Depreciation and Depletion since Q3 2022.
- On a year-over-year basis, Depreciation and Depletion has increased in each of the last ten quarters, with growth averaging 20.3% over the last eight quarters.
- The strongest year-over-year quarter for Depreciation and Depletion in the past five years was Q3 2021, with growth of 107.9%; the weakest was Q4 2021, with a decline of 23.5%.
- According to Business Quant data, Depreciation and Depletion for the three prior quarters was $39.7 million (Q1 2026), $38.3 million (Q4 2025) and $36.6 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 333.79 Bn | 305.49 Bn | 7.76 Bn | - |
| 2 | Amphenol | 197.60 Bn | 192.18 Bn | 3.55 Bn | - |
| 3 | Deere | 169.21 Bn | 137.30 Bn | 4.66 Bn | - |
| 4 | Eaton | 152.39 Bn | 149.57 Bn | 2.86 Bn | 134.00 Mn |
| 5 | Parker-Hannifin | 122.22 Bn | 120.34 Bn | 2.25 Bn | 89.00 Mn |
| 6 | Emerson Electric | 89.77 Bn | 82.51 Bn | 2.66 Bn | 96.00 Mn |
| 7 | 3M | 84.26 Bn | 65.66 Bn | 2.68 Bn | - |
| 8 | Vertiv Holdings | 79.29 Bn | 69.91 Bn | 1.23 Bn | 39.40 Mn |
| 9 | Illinois Tool Works | 77.45 Bn | 74.01 Bn | 1.90 Bn | 82.00 Mn |
| 10 | Oshkosh | 7.97 Bn | 6.63 Bn | 480.30 Mn | 40.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 40.60 Mn |
| Mar 31, 2026 | 39.70 Mn |
| Dec 31, 2025 | 38.30 Mn |
| Sep 30, 2025 | 36.60 Mn |
| Jun 30, 2025 | 34.20 Mn |
| Mar 31, 2025 | 31.60 Mn |
| Dec 31, 2024 | 30.40 Mn |
| Sep 30, 2024 | 31.30 Mn |
| Jun 30, 2024 | 27.20 Mn |
| Mar 31, 2024 | 26.10 Mn |
| Dec 31, 2023 | 27.80 Mn |
| Sep 30, 2023 | 26.30 Mn |
| Jun 30, 2023 | 25.80 Mn |
| Mar 31, 2023 | 23.30 Mn |
| Sep 30, 2022 | 21.10 Mn |
| Jun 30, 2022 | 21.30 Mn |
| Mar 31, 2022 | 20.70 Mn |
| Sep 30, 2021 | 21.50 Mn |
| Jun 30, 2021 | 20.70 Mn |
| Mar 31, 2021 | 20.20 Mn |
API Access
Oshkosh Depreciation and Depletion 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=depreciation-and-depletion&ticker=OSK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=OSK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();