Deere (DE) Operating Expenses (2009 - 2026)
Deere (DE) posted Operating Expenses of $10.7 billion for Q3 2026, down 3.16% on a QoQ basis from $11.1 billion in Q2 2026, and up 2.96% year-over-year from $10.4 billion in Q3 2025.
Deere (DE) Operating Expenses (2009 - 2026) Analysis & Trends
Deere has reported Operating Expenses for 18 years, with the latest figure at $10.7 billion in Q3 2026.
- On a quarterly basis, Operating Expenses rose 2.96% year-over-year to $10.7 billion in Q3 2026; TTM through Aug 2026 was $41.5 billion, a 9.1% increase from a year earlier, with the FY2025 full-year figure at $39.4 billion, down 7.25% from the prior year.
- Operating Expenses was $10.7 billion for Q3 2026 at Deere, down from $11.1 billion in the prior quarter.
- The five-year high for Operating Expenses was $13.5 billion in Q2 2023, with the low at $7.6 billion in Q1 2025.
- Average Operating Expenses over 5 years is $10.7 billion, with a median of $10.8 billion recorded in 2024.
- The sharpest annual moves came in 2022 and 2025: Operating Expenses soared 30.23% in 2022, then decreased 23.64% in 2025.
- Over 5 years, Operating Expenses stood at $12.7 billion in 2022, then dropped by 2.47% to $12.3 billion in 2023, then slipped by 22.0% to $9.6 billion in 2024, then increased by 13.96% to $11.0 billion in 2025, then declined by 2.22% to $10.7 billion in 2026.
- The last three Operating Expenses figures came in at $10.7 billion (Q3 2026), $11.1 billion (Q2 2026), and $8.8 billion (Q1 2026), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 371.58 Bn | 364.86 Bn | 7.76 Bn | 16.25 Bn |
| 2 | Amphenol | 204.28 Bn | 198.29 Bn | 3.55 Bn | 963.40 Mn |
| 3 | Deere | 189.58 Bn | 180.70 Bn | 12.32 Bn | 10.73 Bn |
| 4 | Eaton | 171.87 Bn | 171.22 Bn | 2.86 Bn | 1.46 Bn |
| 5 | Parker-Hannifin | 121.60 Bn | 121.11 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Vertiv Holdings | 97.62 Bn | 94.51 Bn | 1.23 Bn | 490.50 Mn |
| 7 | 3M | 87.32 Bn | 84.04 Bn | 2.68 Bn | 5.52 Bn |
| 8 | Emerson Electric | 86.05 Bn | 83.88 Bn | 2.66 Bn | 1.34 Bn |
| 9 | Illinois Tool Works | 77.02 Bn | 76.18 Bn | 1.90 Bn | - |
| 10 | Cummins | 72.43 Bn | 68.82 Bn | 2.47 Bn | 1.28 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 10.73 Bn |
| May 3, 2026 | 11.08 Bn |
| Feb 1, 2026 | 8.78 Bn |
| Nov 2, 2025 | 10.97 Bn |
| Jul 27, 2025 | 10.42 Bn |
| Apr 27, 2025 | 10.43 Bn |
| Jan 26, 2025 | 7.61 Bn |
| Oct 27, 2024 | 9.63 Bn |
| Jul 28, 2024 | 10.80 Bn |
| Apr 28, 2024 | 12.12 Bn |
| Jan 28, 2024 | 9.97 Bn |
| Oct 29, 2023 | 12.34 Bn |
| Jul 30, 2023 | 12.20 Bn |
| Apr 30, 2023 | 13.54 Bn |
| Jan 29, 2023 | 10.16 Bn |
| Oct 30, 2022 | 12.65 Bn |
| Jul 31, 2022 | 11.56 Bn |
| May 1, 2022 | 10.82 Bn |
| Jan 30, 2022 | 8.42 Bn |
| Oct 31, 2021 | 9.71 Bn |
Deere Operating Expenses 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=operating-expenses&ticker=DE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=DE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();