Oshkosh (OSK) Amortization - Intangibles (2009 - 2026)
Oshkosh (OSK) posted Amortization - Intangibles of $14.4 million for Q2 2026, up 0.7% on a QoQ basis from $14.3 million in Q1 2026, and up 4.35% year-over-year from $13.8 million in Q2 2025.
Oshkosh (OSK) Amortization - Intangibles (2009 - 2026) Analysis & Trends
Oshkosh has reported Amortization - Intangibles for 18 years, with the latest figure at $14.4 million in Q2 2026.
- On a quarterly basis, Amortization - Intangibles rose 4.35% year-over-year to $14.4 million in Q2 2026; TTM through Jun 2026 was $56.5 million, a 2.91% increase from a year earlier, with the FY2025 full-year figure at $55.1 million, up 0.73% from the prior year.
- Amortization - Intangibles was $14.4 million for Q2 2026 at Oshkosh, up from $14.3 million in the prior quarter.
- The five-year high for Amortization - Intangibles was $14.7 million in Q4 2023, with the low at $2.8 million in Q1 2022.
- Average Amortization - Intangibles over 5 years is $11.2 million, with a median of $13.6 million recorded in 2024.
- The sharpest annual moves came in 2023 and 2024: Amortization - Intangibles declined 25.0% in 2023, then jumped 246.15% in 2024.
- Over 5 years, Amortization - Intangibles stood at $5.6 million in 2022, then soared by 162.5% to $14.7 million in 2023, then retreated by 3.4% to $14.2 million in 2024, then fell by 2.11% to $13.9 million in 2025, then gained by 3.6% to $14.4 million in 2026.
- The last three Amortization - Intangibles figures came in at $14.4 million (Q2 2026), $14.3 million (Q1 2026), and $13.9 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 | 14.40 Mn |
| Mar 31, 2026 | 14.30 Mn |
| Dec 31, 2025 | 13.90 Mn |
| Sep 30, 2025 | 13.90 Mn |
| Jun 30, 2025 | 13.80 Mn |
| Mar 31, 2025 | 13.50 Mn |
| Dec 31, 2024 | 14.20 Mn |
| Sep 30, 2024 | 13.40 Mn |
| Jun 30, 2024 | 13.60 Mn |
| Mar 31, 2024 | 13.50 Mn |
| Dec 31, 2023 | 14.70 Mn |
| Sep 30, 2023 | 10.00 Mn |
| Jun 30, 2023 | 4.20 Mn |
| Mar 31, 2023 | 3.90 Mn |
| Jun 30, 2022 | 5.60 Mn |
| Mar 31, 2022 | 2.80 Mn |
| Sep 30, 2021 | 8.30 Mn |
| Jun 30, 2021 | 5.50 Mn |
| Mar 31, 2021 | 2.30 Mn |
| Dec 31, 2020 | 1.30 Mn |
Oshkosh Amortization - Intangibles 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=amortization-intangibles&ticker=OSK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "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=amortization-intangibles&ticker=OSK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();