Oshkosh (OSK) Exchange Rate Effect (2009 - 2026)
Oshkosh (OSK) posted Exchange Rate Effect of -$700000.0 for Q2 2026, up 36.36% on a QoQ basis from -$1.1 million in Q1 2026, and down 110.14% year-over-year from $6.9 million in Q2 2025.
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Analysis
Oshkosh (OSK) Exchange Rate Effect (2009 - 2026) Analysis & Trends
Oshkosh has reported Exchange Rate Effect for 18 years, with the latest figure at -$700000.0 in Q2 2026.
- On a quarterly basis, Exchange Rate Effect fell 110.14% year-over-year to -$700000.0 in Q2 2026; TTM through Jun 2026 was -$1.7 million, a 127.42% decrease from a year earlier, with the FY2025 full-year figure at $12.3 million, up 283.58% from the prior year.
- Exchange Rate Effect was -$700000.0 for Q2 2026 at Oshkosh, up from -$1.1 million in the prior quarter.
- The five-year high for Exchange Rate Effect was $6.9 million in Q2 2025, with the low at -$10.8 million in Q2 2022.
- Average Exchange Rate Effect over 5 years is -$437500.0, with a median of -$600000.0 recorded in 2023.
- The sharpest annual moves came in 2024 and 2025: Exchange Rate Effect tumbled 423.81% in 2024, then surged 2200.0% in 2025.
- Over 5 years, Exchange Rate Effect stood at -$10.8 million in 2022, then jumped by 119.44% to $2.1 million in 2023, then sank by 423.81% to -$6.8 million in 2024, then surged by 111.76% to $800000.0 in 2025, then tumbled by 187.5% to -$700000.0 in 2026.
- The last three Exchange Rate Effect figures came in at -$700000.0 (Q2 2026), -$1.1 million (Q1 2026), and $800000.0 (Q4 2025), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 371.58 Bn | 364.86 Bn | 7.76 Bn | 20.00 Mn |
| 2 | Amphenol | 204.28 Bn | 198.29 Bn | 3.55 Bn | 30.10 Mn |
| 3 | Deere | 189.58 Bn | 180.70 Bn | 12.32 Bn | -74.00 Mn |
| 4 | Eaton | 171.87 Bn | 171.22 Bn | 2.86 Bn | -1.00 Mn |
| 5 | Parker-Hannifin | 121.60 Bn | 121.11 Bn | 2.25 Bn | 4.00 Mn |
| 6 | Vertiv Holdings | 97.62 Bn | 94.51 Bn | 1.23 Bn | 3.50 Mn |
| 7 | 3M | 87.32 Bn | 84.04 Bn | 2.68 Bn | 8.00 Mn |
| 8 | Emerson Electric | 86.05 Bn | 83.88 Bn | 2.66 Bn | -12.00 Mn |
| 9 | Illinois Tool Works | 77.02 Bn | 76.18 Bn | 1.90 Bn | 6.00 Mn |
| 10 | Oshkosh | 8.53 Bn | 8.13 Bn | 480.30 Mn | -700,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -700,000.00 |
| Mar 31, 2026 | -1.10 Mn |
| Dec 31, 2025 | 800,000.00 |
| Sep 30, 2025 | -700,000.00 |
| Jun 30, 2025 | 6.90 Mn |
| Mar 31, 2025 | 5.30 Mn |
| Dec 31, 2024 | -6.80 Mn |
| Sep 30, 2024 | 800,000.00 |
| Jun 30, 2024 | 300,000.00 |
| Mar 31, 2024 | -1.00 Mn |
| Dec 31, 2023 | 2.10 Mn |
| Sep 30, 2023 | -700,000.00 |
| Jun 30, 2023 | -500,000.00 |
| Mar 31, 2023 | 1.20 Mn |
| Jun 30, 2022 | -10.80 Mn |
| Mar 31, 2022 | -2.10 Mn |
| Sep 30, 2021 | -5.90 Mn |
| Jun 30, 2021 | -2.30 Mn |
| Mar 31, 2021 | -4.20 Mn |
| Dec 31, 2020 | 3.20 Mn |
API Access
Oshkosh Exchange Rate Effect 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=exchange-rate-effect&ticker=OSK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=OSK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();