Deere (DE) Cost of Revenue (2009 - 2026)
Deere (DE) reported Cost of Revenue of $7.95 billion for fiscal Q3 2026 (quarter ended Aug 2, 2026), up 4.9% from $7.58 billion a year earlier but down 4.0% from the prior quarter.
Deere (DE) Cost of Revenue (2009 - 2026) Analysis & Trends
Over the twelve months ended Aug 2, 2026, Deere's Cost of Revenue came in at $2.6 billion; for FY2025 (ended Nov 2, 2025), it came in at $320 million, down 5.9% from FY2024.
- Cost of Revenue has a five-year compound annual growth rate of 6.7% (FY2020 to FY2025).
- By fiscal year, Cost of Revenue came in at $340 million in FY2024 (+10.0%), $309 million in FY2023 (+15.7%), $267 million in FY2022 (+13.6%) and $235 million in FY2021 (+1.7%).
- Five-year quarterly Cost of Revenue spans a low of -$27.98 billion in fiscal Q4 2023 and a high of $10.73 billion in fiscal Q2 2023.
- Year over year, Cost of Revenue has now increased in each of the last three quarters, with an average decline of 2.0% over the last six quarters.
- The high point for year-over-year Cost of Revenue in five years was fiscal Q3 2022 (growth of 25.6%); the low point was fiscal Q1 2025 (a decline of 29.9%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $8.28 billion (Q2 2026), $6.29 billion (Q1 2026) and -$19.92 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 351.84 Bn | 323.53 Bn | 7.76 Bn | 12.78 Bn |
| 2 | Amphenol | 209.14 Bn | 203.72 Bn | 3.55 Bn | 5.21 Bn |
| 3 | Deere | 173.99 Bn | 142.08 Bn | 4.66 Bn | 7.95 Bn |
| 4 | Eaton | 165.20 Bn | 162.39 Bn | 2.86 Bn | 5.68 Bn |
| 5 | Parker-Hannifin | 120.55 Bn | 118.67 Bn | 2.25 Bn | 3.51 Bn |
| 6 | Emerson Electric | 90.75 Bn | 83.49 Bn | 2.66 Bn | 2.22 Bn |
| 7 | Vertiv Holdings | 90.61 Bn | 81.23 Bn | 1.23 Bn | 2.04 Bn |
| 8 | 3M | 83.78 Bn | 65.18 Bn | 2.68 Bn | 3.82 Bn |
| 9 | Illinois Tool Works | 75.74 Bn | 72.30 Bn | 1.90 Bn | 2.40 Bn |
| 10 | Cummins | 72.28 Bn | 68.36 Bn | 2.47 Bn | 6.99 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 7.95 Bn |
| May 3, 2026 | 8.28 Bn |
| Feb 1, 2026 | 6.29 Bn |
| Nov 2, 2025 | -19.92 Bn |
| Jul 27, 2025 | 7.58 Bn |
| Apr 27, 2025 | 7.62 Bn |
| Jan 26, 2025 | 5.05 Bn |
| Oct 27, 2024 | -23.87 Bn |
| Jul 28, 2024 | 7.85 Bn |
| Apr 28, 2024 | 9.16 Bn |
| Jan 28, 2024 | 7.20 Bn |
| Oct 29, 2023 | -27.98 Bn |
| Jul 30, 2023 | 9.62 Bn |
| Apr 30, 2023 | 10.73 Bn |
| Jan 29, 2023 | 7.93 Bn |
| Oct 30, 2022 | -24.86 Bn |
| Jul 31, 2022 | 9.51 Bn |
| May 1, 2022 | 8.92 Bn |
| Jan 30, 2022 | 6.70 Bn |
| Oct 31, 2021 | -21.07 Bn |
Deere Cost of Revenue 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=cost-of-revenue&ticker=DE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=DE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();