Deere (DE) Return on Sales [ROS] (2009 - 2026)
Deere (DE) posted Return on Sales [ROS] of 14.72% for fiscal Q3 2026 (quarter ended Aug 2, 2026), up 1.67 percentage points from 13.05% a year earlier but down 2.01 percentage points from the prior quarter.
Deere (DE) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
For the trailing twelve months through Aug 2, 2026, Return on Sales [ROS] at Deere was 12.96%, down 0.81 percentage points year-over-year; for FY2025 (ended Nov 2, 2025), it was 13.18%, down 4.30 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of +1.06 percentage points (FY2020 to FY2025).
- In prior fiscal years, Deere's Return on Sales [ROS] was 17.48% in FY2024 (-3.68 pp), 21.16% in FY2023 (+3.07 pp), 18.08% in FY2022 (-0.12 pp) and 18.20% in FY2021 (+6.09 pp).
- Quarterly Return on Sales [ROS] has run from a low of 8.04% in fiscal Q1 2026 to a high of 22.42% in fiscal Q2 2023 over five years.
- On a year-over-year basis, Return on Sales [ROS] increased in 1 of the last eight quarters, with an average year-over-year change of -3.13 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was fiscal Q1 2023, with a gain of 7.00 percentage points; the weakest was fiscal Q1 2025, with a drop of 8.69 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior fiscal quarters was 16.73% (Q2 2026), 8.04% (Q1 2026) and 10.90% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 351.94 Bn | 323.64 Bn | 7.76 Bn | 20.91% |
| 2 | Amphenol | 209.39 Bn | 203.97 Bn | 3.55 Bn | 29.51% |
| 3 | Deere | 174.05 Bn | 142.14 Bn | 4.66 Bn | 14.72% |
| 4 | Eaton | 165.12 Bn | 162.30 Bn | 2.86 Bn | 16.32% |
| 5 | Parker-Hannifin | 120.51 Bn | 118.63 Bn | 2.25 Bn | 23.86% |
| 6 | Emerson Electric | 90.72 Bn | 83.46 Bn | 2.66 Bn | 26.92% |
| 7 | Vertiv Holdings | 90.08 Bn | 80.70 Bn | 1.23 Bn | 19.48% |
| 8 | 3M | 83.97 Bn | 65.37 Bn | 2.68 Bn | 15.14% |
| 9 | Illinois Tool Works | 75.88 Bn | 72.44 Bn | 1.90 Bn | 26.67% |
| 10 | Cummins | 72.44 Bn | 68.52 Bn | 2.47 Bn | 13.52% |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 14.72% |
| May 3, 2026 | 16.73% |
| Feb 1, 2026 | 8.04% |
| Nov 2, 2025 | 10.90% |
| Jul 27, 2025 | 13.05% |
| Apr 27, 2025 | 18.08% |
| Jan 26, 2025 | 9.32% |
| Oct 27, 2024 | 13.01% |
| Jul 28, 2024 | 17.47% |
| Apr 28, 2024 | 20.33% |
| Jan 28, 2024 | 18.01% |
| Oct 29, 2023 | 19.63% |
| Jul 30, 2023 | 22.25% |
| Apr 30, 2023 | 22.42% |
| Jan 29, 2023 | 19.90% |
| Oct 30, 2022 | 19.03% |
| Jul 31, 2022 | 18.76% |
| May 1, 2022 | 19.97% |
| Jan 30, 2022 | 12.91% |
| Oct 31, 2021 | 14.94% |
Deere Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=DE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=DE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();