Deere (DE) EBITDA (2009 - 2026)
Deere (DE) recorded EBITDA of $2.46 billion in fiscal Q3 2026 (quarter ended Aug 2, 2026), up 15.3% from $2.13 billion a year earlier but down 13.1% from the prior quarter.
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Analysis
Deere (DE) EBITDA (2009 - 2026) Analysis & Trends
On a TTM basis, Deere's EBITDA came in at $8.57 billion as of Aug 2, 2026, up 3.1% year-over-year; for FY2025 (ended Nov 2, 2025), it came in at $8.25 billion, down 26.1% from FY2024.
- Annual EBITDA has a five-year compound annual growth rate of 5.1% (FY2020 to FY2025).
- Across earlier fiscal years, EBITDA came in at $11.16 billion in FY2024 (-25.4%), $14.96 billion in FY2023 (+31.2%), $11.4 billion in FY2022 (+13.3%) and $10.06 billion in FY2021 (+56.7%).
- Quarterly EBITDA has ranged from $1.34 billion in fiscal Q1 2025 to $4.4 billion in fiscal Q2 2023 over the past five years.
- On a year-over-year basis, EBITDA rose in two of the last eight quarters, with an average decline of 16.0%.
- Peak year-over-year performance for EBITDA in the last five years was growth of 75.0% in fiscal Q1 2023, against a decline of 50.6% in fiscal Q1 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $2.83 billion (Q2 2026), $1.36 billion (Q1 2026) and $1.91 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 351.37 Bn | 323.07 Bn | 7.76 Bn | 4.91 Bn |
| 2 | Amphenol | 209.04 Bn | 203.63 Bn | 3.55 Bn | 2.93 Bn |
| 3 | Deere | 173.76 Bn | 141.85 Bn | 4.66 Bn | 2.46 Bn |
| 4 | Eaton | 165.23 Bn | 162.42 Bn | 2.86 Bn | 1.79 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 1.61 Bn |
| 6 | Emerson Electric | 90.68 Bn | 83.42 Bn | 2.66 Bn | 1.69 Bn |
| 7 | Vertiv Holdings | 90.65 Bn | 81.27 Bn | 1.23 Bn | 754.30 Mn |
| 8 | 3M | 83.69 Bn | 65.09 Bn | 2.68 Bn | 1.32 Bn |
| 9 | Illinois Tool Works | 75.68 Bn | 72.24 Bn | 1.90 Bn | 1.25 Bn |
| 10 | Cummins | 72.28 Bn | 68.36 Bn | 2.47 Bn | 1.56 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 2.46 Bn |
| May 3, 2026 | 2.83 Bn |
| Feb 1, 2026 | 1.36 Bn |
| Nov 2, 2025 | 1.91 Bn |
| Jul 27, 2025 | 2.13 Bn |
| Apr 27, 2025 | 2.86 Bn |
| Jan 26, 2025 | 1.34 Bn |
| Oct 27, 2024 | 1.97 Bn |
| Jul 28, 2024 | 2.85 Bn |
| Apr 28, 2024 | 3.62 Bn |
| Jan 28, 2024 | 2.71 Bn |
| Oct 29, 2023 | 3.50 Bn |
| Jul 30, 2023 | 4.05 Bn |
| Apr 30, 2023 | 4.40 Bn |
| Jan 29, 2023 | 3.01 Bn |
| Oct 30, 2022 | 3.41 Bn |
| Jul 31, 2022 | 3.16 Bn |
| May 1, 2022 | 3.12 Bn |
| Jan 30, 2022 | 1.72 Bn |
| Oct 31, 2021 | 2.17 Bn |
API Access
Deere EBITDA 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=ebitda&ticker=DE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=DE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();