Agco (AGCO) Interest Expenses (2009 - 2011)
Agco's Interest Expenses was $123 million in FY2025, down 22.8% from $159.3 million in FY2024.
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Analysis
Agco (AGCO) Interest Expenses (2009 - 2011) Analysis & Trends
From FY2009 onward, Agco has reported Interest Expenses for 6 years.
- Interest Expenses shows a three-year compound annual growth rate of 38.8% (FY2022 to FY2025).
- Annual Interest Expenses has moved between $46 million (FY2022) and $159.3 million (FY2024) over five years.
- Per Business Quant data, Interest Expenses in earlier years was $159.3 million in FY2024 (+131.5%), $68.8 million in FY2023 (+49.6%) and $46 million in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 497.00 Mn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 213.70 Mn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 661.00 Mn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 201.00 Mn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 95.00 Mn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 17.40 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | - |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | - |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 79.00 Mn |
| 10 | Agco | 8.00 Bn | 5.46 Bn | 645.90 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2011 | 3.10 Mn |
| Jun 30, 2011 | 12.50 Mn |
| Mar 31, 2011 | 5.50 Mn |
| Dec 31, 2010 | 9.60 Mn |
| Sep 30, 2010 | 5.80 Mn |
| Jun 30, 2010 | 8.30 Mn |
| Mar 31, 2010 | 9.60 Mn |
| Dec 31, 2009 | 9.00 Mn |
| Sep 30, 2009 | 10.10 Mn |
| Jun 30, 2009 | 11.50 Mn |
API Access
Agco Interest 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=interest-expenses&ticker=AGCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-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=interest-expenses&ticker=AGCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();