Deere (DE) Exchange Rate Effect (2009 - 2026)
Deere (DE) posted Exchange Rate Effect of -$74.0 million for Q3 2026, down 1750.0% on a QoQ basis from -$4.0 million in Q2 2026, and down 184.09% year-over-year from $88.0 million in Q3 2025.
Deere (DE) Exchange Rate Effect (2009 - 2026) Analysis & Trends
Deere has reported Exchange Rate Effect for 18 years, with the latest figure at -$74.0 million in Q3 2026.
- On a quarterly basis, Exchange Rate Effect fell 184.09% year-over-year to -$74.0 million in Q3 2026; TTM through Aug 2026 was -$11.0 million, a 114.29% decrease from a year earlier, with the FY2025 full-year figure at $77.0 million, up 308.11% from the prior year.
- Exchange Rate Effect was -$74.0 million for Q3 2026 at Deere, down from -$4.0 million in the prior quarter.
- The five-year high for Exchange Rate Effect was $107.0 million in Q2 2025, with the low at -$94.0 million in Q4 2023.
- Average Exchange Rate Effect over 5 years is -$7.0 million, with a median of -$21.0 million recorded in 2024.
- The largest YoY upside for Exchange Rate Effect was 8900.0% in 2025 against a maximum downside of 643.75% in 2025.
- Over 5 years, Exchange Rate Effect stood at -$81.0 million in 2022, then dropped by 16.05% to -$94.0 million in 2023, then jumped by 67.02% to -$31.0 million in 2024, then changed by 0.0% to -$31.0 million in 2025, then plunged by 138.71% to -$74.0 million in 2026.
- The last three Exchange Rate Effect figures came in at -$74.0 million (Q3 2026), -$4.0 million (Q2 2026), and $98.0 million (Q1 2026), per Business Quant data.
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 | Cummins | 72.43 Bn | 68.82 Bn | 2.47 Bn | 9.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | -74.00 Mn |
| May 3, 2026 | -4.00 Mn |
| Feb 1, 2026 | 98.00 Mn |
| Nov 2, 2025 | -31.00 Mn |
| Jul 27, 2025 | 88.00 Mn |
| Apr 27, 2025 | 107.00 Mn |
| Jan 26, 2025 | -87.00 Mn |
| Oct 27, 2024 | -31.00 Mn |
| Jul 28, 2024 | -1.00 Mn |
| Apr 28, 2024 | -21.00 Mn |
| Jan 28, 2024 | 16.00 Mn |
| Oct 29, 2023 | -94.00 Mn |
| Jul 30, 2023 | 55.00 Mn |
| Apr 30, 2023 | 8.00 Mn |
| Jan 29, 2023 | 62.00 Mn |
| Oct 30, 2022 | -81.00 Mn |
| Jul 31, 2022 | -33.00 Mn |
| May 1, 2022 | -36.00 Mn |
| Jan 30, 2022 | -74.00 Mn |
| Oct 31, 2021 | -51.00 Mn |
Deere 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=DE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "DE", "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=DE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();