Albany International (AIN) Times Interest Earned (2010 - 2017)
Albany International's Times Interest Earned came in at -1.40 for FY2025, compared with 7.91 in FY2024.
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Analysis
Albany International (AIN) Times Interest Earned (2010 - 2017) Analysis & Trends
Going back to FY2009, Albany International's Times Interest Earned data covers 17 years.
- The FY2025 figure represents the lowest annual Times Interest Earned since FY2012.
- Per Business Quant, earlier years put Times Interest Earned at 7.91 in FY2024 (-5.0%), 8.33 in FY2023 (-18.0%), 10.15 in FY2022 (-0.8%) and 10.24 in FY2021 (+0.7%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Times Interest Earned (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | -28.76 |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | - |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 0.26 |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 9.32 |
| 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 | 7.42 |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 6.81 |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 4.92 |
| 10 | Albany International | 1.69 Bn | 1.28 Bn | 107.90 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2017 | 5.10 |
| Dec 31, 2016 | 4.92 |
| Sep 30, 2016 | 6.74 |
| Mar 31, 2016 | 9.95 |
| Dec 31, 2015 | 3.92 |
| Sep 30, 2015 | 9.68 |
| Mar 31, 2015 | 7.53 |
| Mar 31, 2011 | 5.65 |
| Mar 31, 2010 | 2.55 |
API Access
Albany International Times Interest Earned 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=times-interest-earned&ticker=AIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "times-interest-earned", "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=times-interest-earned&ticker=AIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();