Agco (AGCO) Depreciation and Depletion (2009 - 2026)
Agco (AGCO) recorded Depreciation and Depletion of $65.1 million in Q3 2026, up 3.8% from $62.7 million a year earlier but down 3.0% from the prior quarter.
Agco (AGCO) Depreciation and Depletion (2009 - 2026) Analysis & Trends
On a TTM basis, Agco's Depreciation and Depletion came in at $268.1 million as of Sep 30, 2026, up 7.6% year-over-year; for FY2025, it was $256.5 million, up 2.1% from FY2024.
- Annual Depreciation and Depletion has increased for three straight years, with a five-year compound annual growth rate of 3.8% (FY2020 to FY2025).
- Across earlier years, Depreciation and Depletion came in at $251.2 million in FY2024 (+9.0%), $230.4 million in FY2023 (+10.0%), $209.5 million in FY2022 (-5.1%) and $220.7 million in FY2021 (+3.9%).
- Quarterly Depreciation and Depletion has ranged from $50.6 million in Q3 2022 to $69.2 million in Q4 2025 over the past five years.
- On a year-over-year basis, Depreciation and Depletion has increased for five consecutive quarters, with growth averaging 3.5% over the last eight quarters.
- Peak year-over-year performance for Depreciation and Depletion in the last five years was growth of 18.1% in Q1 2024, against a decline of 7.3% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $67.1 million (Q2 2026), $66.7 million (Q1 2026) and $69.2 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn | - |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | - |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | - |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn | 140.00 Mn |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn | 97.00 Mn |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn | - |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn | 95.00 Mn |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn | 84.00 Mn |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn | 39.80 Mn |
| 10 | Agco | 7.80 Bn | 5.72 Bn | 565.40 Mn | 65.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 65.10 Mn |
| Jun 30, 2026 | 67.10 Mn |
| Mar 31, 2026 | 66.70 Mn |
| Dec 31, 2025 | 69.20 Mn |
| Sep 30, 2025 | 62.70 Mn |
| Jun 30, 2025 | 64.10 Mn |
| Mar 31, 2025 | 60.50 Mn |
| Dec 31, 2024 | 61.80 Mn |
| Sep 30, 2024 | 60.90 Mn |
| Jun 30, 2024 | 65.20 Mn |
| Mar 31, 2024 | 63.30 Mn |
| Dec 31, 2023 | 61.50 Mn |
| Sep 30, 2023 | 58.80 Mn |
| Jun 30, 2023 | 56.50 Mn |
| Mar 31, 2023 | 53.60 Mn |
| Dec 31, 2022 | 52.40 Mn |
| Sep 30, 2022 | 50.60 Mn |
| Jun 30, 2022 | 51.80 Mn |
| Mar 31, 2022 | 54.70 Mn |
| Dec 31, 2021 | 56.50 Mn |
Agco Depreciation and Depletion 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=depreciation-and-depletion&ticker=AGCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "AGCO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=depreciation-and-depletion&ticker=AGCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();