Deere (DE) Accumulated Expenses (2009 - 2026)
Deere (DE) posted Accumulated Expenses of $1.1 billion for Q3 2026, down 3.47% on a QoQ basis from $1.2 billion in Q2 2026, and down 15.78% year-over-year from $1.4 billion in Q3 2025.
Deere (DE) Accumulated Expenses (2009 - 2026) Analysis & Trends
Deere has reported Accumulated Expenses for 18 years, with the latest figure at $1.1 billion in Q3 2026.
- On a quarterly basis, Accumulated Expenses fell 15.78% year-over-year to $1.1 billion in Q3 2026; TTM through Aug 2026 was $1.1 billion, a 15.78% decrease from a year earlier, with the FY2025 full-year figure at $1.6 billion, down 18.08% from the prior year.
- Accumulated Expenses was $1.1 billion for Q3 2026 at Deere, down from $1.2 billion in the prior quarter.
- The five-year high for Accumulated Expenses was $2.2 billion in Q4 2023, with the low at $1.0 billion in Q1 2025.
- Average Accumulated Expenses over 5 years is $1.4 billion, with a median of $1.4 billion recorded in 2025.
- The sharpest annual moves came in 2023 and 2025: Accumulated Expenses surged 40.84% in 2023, then dropped 24.9% in 2025.
- Over 5 years, Accumulated Expenses stood at $1.5 billion in 2022, then soared by 40.84% to $2.2 billion in 2023, then retreated by 10.55% to $1.9 billion in 2024, then fell by 18.08% to $1.6 billion in 2025, then dropped by 27.58% to $1.1 billion in 2026.
- The last three Accumulated Expenses figures came in at $1.1 billion (Q3 2026), $1.2 billion (Q2 2026), and $1.1 billion (Q1 2026), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 371.58 Bn | 364.86 Bn | 7.76 Bn |
| 2 | Amphenol | 204.28 Bn | 198.29 Bn | 3.55 Bn |
| 3 | Deere | 189.58 Bn | 180.70 Bn | 12.32 Bn |
| 4 | Eaton | 171.87 Bn | 171.22 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 121.60 Bn | 121.11 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 97.62 Bn | 94.51 Bn | 1.23 Bn |
| 7 | 3M | 87.32 Bn | 84.04 Bn | 2.68 Bn |
| 8 | Emerson Electric | 86.05 Bn | 83.88 Bn | 2.66 Bn |
| 9 | Illinois Tool Works | 77.02 Bn | 76.18 Bn | 1.90 Bn |
| 10 | Cummins | 72.43 Bn | 68.82 Bn | 2.47 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 1.14 Bn |
| May 3, 2026 | 1.18 Bn |
| Feb 1, 2026 | 1.06 Bn |
| Nov 2, 2025 | 1.58 Bn |
| Jul 27, 2025 | 1.36 Bn |
| Apr 27, 2025 | 1.16 Bn |
| Jan 26, 2025 | 1.04 Bn |
| Oct 27, 2024 | 1.93 Bn |
| Jul 28, 2024 | 1.80 Bn |
| Apr 28, 2024 | 1.55 Bn |
| Jan 28, 2024 | 1.11 Bn |
| Oct 29, 2023 | 2.15 Bn |
| Jul 30, 2023 | 1.81 Bn |
| Apr 30, 2023 | 1.48 Bn |
| Jan 29, 2023 | 1.29 Bn |
| Oct 30, 2022 | 1.53 Bn |
| Jul 31, 2022 | 1.33 Bn |
| May 1, 2022 | 1.39 Bn |
| Jan 30, 2022 | 1.05 Bn |
| Oct 31, 2021 | 1.45 Bn |
Deere Accumulated Expenses 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=accumulated-expenses&ticker=DE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=DE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();