Albany International (AIN) Non Operating Interest Expenses (2010 - 2017)
Albany International's Non Operating Interest Expenses was $25.76 million in FY2025, up 55.1% from $16.61 million in FY2024.
Powered by 
Analysis
Albany International (AIN) Non Operating Interest Expenses (2010 - 2017) Analysis & Trends
From FY2009 onward, Albany International has reported Non Operating Interest Expenses for 17 years.
- Non Operating Interest Expenses shows a five-year compound annual growth rate of 9.5% (FY2020 to FY2025).
- The FY2025 figure marks the highest annual Non Operating Interest Expenses in data going back to FY2009.
- Per Business Quant data, Non Operating Interest Expenses in earlier years was $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) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 215.00 Mn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | - |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 600.00 Mn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 266.00 Mn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | - |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | - |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 109.00 Mn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 161.00 Mn |
| 9 | Honeywell International | 66.86 Bn | 19.30 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 Non Operating 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=non-operating-interest-expenses&ticker=AIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-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=non-operating-interest-expenses&ticker=AIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();