Deere (DE) Tax Provisions (2009 - 2026)
Deere (DE) posted Tax Provisions of $529.0 million for Q3 2026, up 2.12% on a QoQ basis from $518.0 million in Q2 2026, and up 56.05% year-over-year from $339.0 million in Q3 2025.
Deere (DE) Tax Provisions (2009 - 2026) Analysis & Trends
Deere has reported Tax Provisions for 18 years, with the latest figure at $529.0 million in Q3 2026.
- On a quarterly basis, Tax Provisions rose 56.05% year-over-year to $529.0 million in Q3 2026; TTM through Aug 2026 was $1.9 billion, a 30.18% increase from a year earlier, with the FY2025 full-year figure at $1.5 billion, down 35.22% from the prior year.
- Tax Provisions was $529.0 million for Q3 2026 at Deere, up from $518.0 million in the prior quarter.
- The five-year high for Tax Provisions was $1.5 billion in Q4 2023, with the low at $27.0 million in Q1 2025.
- Average Tax Provisions over 5 years is $574.4 million, with a median of $539.0 million recorded in 2025.
- The sharpest annual moves came in 2025 and 2026: Tax Provisions slumped 94.24% in 2025, then jumped 625.93% in 2026.
- Over 5 years, Tax Provisions stood at $709.0 million in 2022, then surged by 111.14% to $1.5 billion in 2023, then sank by 63.73% to $543.0 million in 2024, then advanced by 18.23% to $642.0 million in 2025, then decreased by 17.6% to $529.0 million in 2026.
- The last three Tax Provisions figures came in at $529.0 million (Q3 2026), $518.0 million (Q2 2026), and $196.0 million (Q1 2026), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 371.58 Bn | 364.86 Bn | 7.76 Bn | 1.06 Bn |
| 2 | Amphenol | 204.28 Bn | 198.29 Bn | 3.55 Bn | 604.30 Mn |
| 3 | Deere | 189.58 Bn | 180.70 Bn | 12.32 Bn | 529.00 Mn |
| 4 | Eaton | 171.87 Bn | 171.22 Bn | 2.86 Bn | 321.00 Mn |
| 5 | Parker-Hannifin | 121.60 Bn | 121.11 Bn | 2.25 Bn | 248.00 Mn |
| 6 | Vertiv Holdings | 97.62 Bn | 94.51 Bn | 1.23 Bn | 122.20 Mn |
| 7 | 3M | 87.32 Bn | 84.04 Bn | 2.68 Bn | 183.00 Mn |
| 8 | Emerson Electric | 86.05 Bn | 83.88 Bn | 2.66 Bn | 198.00 Mn |
| 9 | Illinois Tool Works | 77.02 Bn | 76.18 Bn | 1.90 Bn | 265.00 Mn |
| 10 | Cummins | 72.43 Bn | 68.82 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 | 642.00 Mn |
| Jul 27, 2025 | 339.00 Mn |
| Apr 27, 2025 | 539.00 Mn |
| Jan 26, 2025 | 27.00 Mn |
| Oct 27, 2024 | 543.00 Mn |
| Jul 28, 2024 | 625.00 Mn |
| Apr 28, 2024 | 751.00 Mn |
| Jan 28, 2024 | 469.00 Mn |
| Oct 29, 2023 | 1.50 Bn |
| Jul 30, 2023 | 636.00 Mn |
| Apr 30, 2023 | 991.00 Mn |
| Jan 29, 2023 | 537.00 Mn |
| Oct 30, 2022 | 709.00 Mn |
| Jul 31, 2022 | 654.00 Mn |
| May 1, 2022 | 461.00 Mn |
| Jan 30, 2022 | 250.00 Mn |
| Oct 31, 2021 | 771.00 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();