Albany International (AIN) Interest Expenses (2010 - 2017)
Albany International (AIN) reported Interest Expenses of $25.76 million for FY2025, up 55.1% from $16.61 million in FY2024.
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Analysis
Albany International (AIN) Interest Expenses (2010 - 2017) Analysis & Trends
Dating back to FY2009, Albany International's Interest Expenses record includes 17 years.
- Interest Expenses has a five-year compound annual growth rate of 9.5% (FY2020 to FY2025).
- The FY2025 figure ranks as the highest annual Interest Expenses in data going back to FY2009.
- According to Business Quant data, Interest Expenses came in at $16.61 million in FY2024 (-17.6%), $20.17 million in FY2023 (+13.1%), $17.84 million in FY2022 (+2.6%) and $17.39 million in FY2021 (+6.5%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.06 Bn | 284.06 Bn | 4.68 Bn | 215.00 Mn |
| 2 | Rtx | 252.10 Bn | 225.31 Bn | 5.13 Bn | - |
| 3 | Boeing | 148.40 Bn | 55.10 Bn | 2.41 Bn | 600.00 Mn |
| 4 | Lockheed Martin | 118.20 Bn | 104.92 Bn | 2.45 Bn | 266.00 Mn |
| 5 | Howmet Aerospace | 92.39 Bn | 87.99 Bn | 951.00 Mn | - |
| 6 | General Dynamics | 89.92 Bn | 77.03 Bn | 2.18 Bn | - |
| 7 | Motorola Solutions | 73.84 Bn | 70.20 Bn | 1.68 Bn | 109.00 Mn |
| 8 | Northrop Grumman | 71.73 Bn | 60.97 Bn | 2.12 Bn | 161.00 Mn |
| 9 | Honeywell International | 66.60 Bn | 19.04 Bn | 3.65 Bn | 363.00 Mn |
| 10 | Albany International | 1.69 Bn | 1.28 Bn | 107.90 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2017 | 4.33 Mn |
| Dec 31, 2016 | 5.93 Mn |
| Sep 30, 2016 | 3.68 Mn |
| Mar 31, 2016 | 2.24 Mn |
| Dec 31, 2015 | 3.79 Mn |
| Sep 30, 2015 | 2.67 Mn |
| Mar 31, 2015 | 2.68 Mn |
| Mar 31, 2011 | 4.78 Mn |
| Mar 31, 2010 | 3.83 Mn |
API Access
Albany International 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=AIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "AIN", "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=AIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();