Agco (AGCO) Total Non-Current Liabilities (2009 - 2026)
Agco (AGCO) recorded Total Non-Current Liabilities of $6.79 billion in Q3 2026, down 4.3% from $7.09 billion a year earlier and down 1.8% from the prior quarter.
Agco (AGCO) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Agco reported Total Non-Current Liabilities of $6.77 billion, unchanged from FY2024.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of 5.8% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $6.77 billion in FY2024 (+10.1%), $6.15 billion in FY2023 (+7.0%), $5.75 billion in FY2022 (+8.3%) and $5.31 billion in FY2021 (+3.8%).
- Quarterly Total Non-Current Liabilities has ranged from $5.31 billion in Q4 2021 to $8.89 billion in Q2 2024 over the past five years.
- On a year-over-year basis, Total Non-Current Liabilities has declined for three consecutive quarters, with an average decline of 6.3% over the last eight quarters.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 34.7% in Q3 2024, against a decline of 18.2% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $6.92 billion (Q2 2026), $6.85 billion (Q1 2026) and $6.77 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn | 76.44 Bn |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | 28.76 Bn |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | - |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn | 23.44 Bn |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn | 25.05 Bn |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn | 26.86 Bn |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn | 17.63 Bn |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn | 8.26 Bn |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn | 12.22 Bn |
| 10 | Agco | 7.80 Bn | 5.72 Bn | 565.40 Mn | 6.79 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 6.79 Bn |
| Jun 30, 2026 | 6.92 Bn |
| Mar 31, 2026 | 6.85 Bn |
| Dec 31, 2025 | 6.77 Bn |
| Sep 30, 2025 | 7.09 Bn |
| Jun 30, 2025 | 7.30 Bn |
| Mar 31, 2025 | 6.94 Bn |
| Dec 31, 2024 | 6.77 Bn |
| Sep 30, 2024 | 8.67 Bn |
| Jun 30, 2024 | 8.89 Bn |
| Mar 31, 2024 | 8.06 Bn |
| Dec 31, 2023 | 6.15 Bn |
| Sep 30, 2023 | 6.44 Bn |
| Jun 30, 2023 | 6.72 Bn |
| Mar 31, 2023 | 6.17 Bn |
| Dec 31, 2022 | 5.75 Bn |
| Sep 30, 2022 | 5.88 Bn |
| Jun 30, 2022 | 6.09 Bn |
| Mar 31, 2022 | 5.78 Bn |
| Dec 31, 2021 | 5.31 Bn |
Agco Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=AGCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=AGCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();