Deere (DE) Operating Expenses (2009 - 2026)
Deere's Operating Expenses came in at $10.73 billion for fiscal Q3 2026 (quarter ended Aug 2, 2026), up 3.0% from $10.42 billion a year earlier but down 3.2% from the prior quarter.
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Analysis
Deere (DE) Operating Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 2, 2026, Deere reported Operating Expenses of $41.55 billion, up 9.1% year-over-year; for FY2025 (ended Nov 2, 2025), it was $39.43 billion, down 7.3% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 4.5% (FY2020 to FY2025).
- Going back by fiscal year, Operating Expenses was $42.51 billion in FY2024 (-11.9%), $48.23 billion in FY2023 (+11.0%), $43.45 billion in FY2022 (+19.3%) and $36.42 billion in FY2021 (+15.1%).
- The five-year range for quarterly Operating Expenses is $7.61 billion (fiscal Q1 2025) to $13.54 billion (fiscal Q2 2023).
- Year-over-year, Operating Expenses has increased for four consecutive quarters, with an average decline of 3.1% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q4 2022 (growth of 30.2%), and the weakest in fiscal Q1 2025 (a decline of 23.6%).
- Business Quant data shows DE's Operating Expenses at $11.08 billion (Q2 2026), $8.78 billion (Q1 2026) and $10.97 billion (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 351.37 Bn | 323.07 Bn | 7.76 Bn | 16.25 Bn |
| 2 | Amphenol | 209.04 Bn | 203.63 Bn | 3.55 Bn | 963.40 Mn |
| 3 | Deere | 173.76 Bn | 141.85 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 165.23 Bn | 162.42 Bn | 2.86 Bn | 1.46 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Emerson Electric | 90.68 Bn | 83.42 Bn | 2.66 Bn | 1.34 Bn |
| 7 | Vertiv Holdings | 90.65 Bn | 81.27 Bn | 1.23 Bn | 490.50 Mn |
| 8 | 3M | 83.69 Bn | 65.09 Bn | 2.68 Bn | 5.52 Bn |
| 9 | Illinois Tool Works | 75.68 Bn | 72.24 Bn | 1.90 Bn | - |
| 10 | Cummins | 72.28 Bn | 68.36 Bn | 2.47 Bn | 1.28 Bn |
Historic Data
Download Data
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 |
API Access
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_KEYimport 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();