Deere (DE) Tax Provisions (2009 - 2026)
Deere (DE) posted Tax Provisions of $529 million for fiscal Q3 2026 (quarter ended Aug 2, 2026), up 56.0% from $339 million a year earlier and up 2.1% from the prior quarter.
Deere (DE) Tax Provisions (2009 - 2026) Analysis & Trends
For the trailing twelve months through Aug 2, 2026, Tax Provisions at Deere was $1.6 billion, up 38.4% year-over-year; for FY2025 (ended Nov 2, 2025), it came in at $1.26 billion, down 39.9% from FY2024.
- Annual Tax Provisions shows a five-year compound annual growth rate of 3.1% (FY2020 to FY2025).
- In prior fiscal years, Deere's Tax Provisions was $2.09 billion in FY2024 (-27.1%), $2.87 billion in FY2023 (+43.0%), $2.01 billion in FY2022 (+21.0%) and $1.66 billion in FY2021 (+53.2%).
- The fiscal Q3 2026 figure stands as the highest quarterly Tax Provisions since fiscal Q2 2025.
- On a year-over-year basis, Tax Provisions increased in three of the last eight quarters, with growth averaging 60.9%.
- The strongest year-over-year quarter for Tax Provisions in the past five years was fiscal Q1 2026, with growth of 625.9%; the weakest was fiscal Q1 2025, with a decline of 94.2%.
- According to Business Quant data, Tax Provisions for the three prior fiscal quarters was $518 million (Q2 2026), $196 million (Q1 2026) and $354 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 351.37 Bn | 323.07 Bn | 7.76 Bn | 1.06 Bn |
| 2 | Amphenol | 209.04 Bn | 203.63 Bn | 3.55 Bn | 604.30 Mn |
| 3 | Deere | 173.76 Bn | 141.85 Bn | 4.66 Bn | 529.00 Mn |
| 4 | Eaton | 165.23 Bn | 162.42 Bn | 2.86 Bn | 321.00 Mn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 248.00 Mn |
| 6 | Emerson Electric | 90.68 Bn | 83.42 Bn | 2.66 Bn | 198.00 Mn |
| 7 | Vertiv Holdings | 90.65 Bn | 81.27 Bn | 1.23 Bn | 122.20 Mn |
| 8 | 3M | 83.69 Bn | 65.09 Bn | 2.68 Bn | 183.00 Mn |
| 9 | Illinois Tool Works | 75.68 Bn | 72.24 Bn | 1.90 Bn | 265.00 Mn |
| 10 | Cummins | 72.28 Bn | 68.36 Bn | 2.47 Bn | 325.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 529.00 Mn |
| May 3, 2026 | 518.00 Mn |
| Feb 1, 2026 | 196.00 Mn |
| Nov 2, 2025 | 354.00 Mn |
| Jul 27, 2025 | 339.00 Mn |
| Apr 27, 2025 | 539.00 Mn |
| Jan 26, 2025 | 27.00 Mn |
| Oct 27, 2024 | 249.00 Mn |
| Jul 28, 2024 | 625.00 Mn |
| Apr 28, 2024 | 751.00 Mn |
| Jan 28, 2024 | 469.00 Mn |
| Oct 29, 2023 | 707.00 Mn |
| Jul 30, 2023 | 636.00 Mn |
| Apr 30, 2023 | 991.00 Mn |
| Jan 29, 2023 | 537.00 Mn |
| Oct 30, 2022 | 643.00 Mn |
| Jul 31, 2022 | 654.00 Mn |
| May 1, 2022 | 461.00 Mn |
| Jan 30, 2022 | 250.00 Mn |
| Oct 31, 2021 | 330.00 Mn |
Deere Tax Provisions 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=tax-provisions&ticker=DE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=DE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();