Agco (AGCO) Change in Accrued Expenses (2009 - 2026)
Agco (AGCO) recorded Change in Accrued Expenses of -$68.8 million in Q3 2026, compared with $3.1 million a year earlier.
Agco (AGCO) Change in Accrued Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Agco's Change in Accrued Expenses came in at -$98 million as of Sep 30, 2026; for FY2025, it came in at -$114.1 million.
- Across earlier years, Change in Accrued Expenses came in at -$190.2 million in FY2024, $566.5 million in FY2023 (+100.4%), $282.7 million in FY2022 (+17.2%) and $241.2 million in FY2021 (+30.2%).
- Quarterly Change in Accrued Expenses has ranged from -$384.9 million in Q1 2025 to $314.7 million in Q4 2023 over the past five years.
- On a year-over-year basis, Change in Accrued Expenses rose in 1 of the last four quarters, with an average decline of 22.3%.
- Peak year-over-year performance for Change in Accrued Expenses in the last five years was growth of 86.9% in Q4 2022, against a decline of 69.5% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $97.7 million (Q2 2026), -$254.2 million (Q1 2026) and $127.3 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn | 762.00 Mn |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | - |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | 67.00 Mn |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn | - |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn | - |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn | - |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn | 205.00 Mn |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn | 35.00 Mn |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn | 112.80 Mn |
| 10 | Agco | 7.80 Bn | 5.72 Bn | 565.40 Mn | -68.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -68.80 Mn |
| Jun 30, 2026 | 97.70 Mn |
| Mar 31, 2026 | -254.20 Mn |
| Dec 31, 2025 | 127.30 Mn |
| Sep 30, 2025 | 3.10 Mn |
| Jun 30, 2025 | 140.40 Mn |
| Mar 31, 2025 | -384.90 Mn |
| Dec 31, 2024 | 96.00 Mn |
| Sep 30, 2024 | -107.70 Mn |
| Jun 30, 2024 | 179.70 Mn |
| Mar 31, 2024 | -358.20 Mn |
| Dec 31, 2023 | 314.70 Mn |
| Sep 30, 2023 | 123.10 Mn |
| Jun 30, 2023 | 284.60 Mn |
| Mar 31, 2023 | -155.90 Mn |
| Dec 31, 2022 | 260.20 Mn |
| Sep 30, 2022 | 68.70 Mn |
| Jun 30, 2022 | 173.30 Mn |
| Mar 31, 2022 | -219.50 Mn |
| Dec 31, 2021 | 139.20 Mn |
Agco Change in Accrued 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=change-in-accured-expenses&ticker=AGCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=AGCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();