Albany International (AIN) Retained Earnings (2009 - 2026)
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Analysis
Albany International (AIN) Retained Earnings (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 334.86 Bn | 293.38 Bn | 5.02 Bn | 92.76 Bn |
| 2 | Rtx | 256.39 Bn | 224.66 Bn | 5.81 Bn | 60.60 Bn |
| 3 | Boeing | 137.52 Bn | 46.48 Bn | 2.17 Bn | 16.43 Bn |
| 4 | Lockheed Martin | 130.55 Bn | 114.79 Bn | 2.44 Bn | 16.80 Bn |
| 5 | General Dynamics | 95.65 Bn | 80.88 Bn | 2.25 Bn | 46.30 Bn |
| 6 | Motorola Solutions | 85.05 Bn | 81.51 Bn | 1.77 Bn | 2.84 Bn |
| 7 | Howmet Aerospace | 81.91 Bn | 77.67 Bn | 1.00 Bn | 5.62 Bn |
| 8 | Northrop Grumman | 74.74 Bn | 62.20 Bn | 2.35 Bn | 18.61 Bn |
| 9 | Honeywell International | 69.91 Bn | 29.43 Bn | 2.02 Bn | 58.76 Bn |
| 10 | Albany International | 1.90 Bn | 1.51 Bn | 140.38 Mn | 1.03 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.03 Bn |
| Jun 30, 2026 | 993.17 Mn |
| Mar 31, 2026 | 983.70 Mn |
| Dec 31, 2025 | 976.37 Mn |
| Sep 30, 2025 | 970.44 Mn |
| Jun 30, 2025 | 1.08 Bn |
| Mar 31, 2025 | 1.07 Bn |
| Dec 31, 2024 | 1.07 Bn |
| Sep 30, 2024 | 1.06 Bn |
| Jun 30, 2024 | 1.05 Bn |
| Mar 31, 2024 | 1.03 Bn |
| Dec 31, 2023 | 1.01 Bn |
| Sep 30, 2023 | 988.60 Mn |
| Jun 30, 2023 | 969.29 Mn |
| Mar 31, 2023 | 950.42 Mn |
| Dec 31, 2022 | 931.32 Mn |
| Sep 30, 2022 | 920.97 Mn |
| Jun 30, 2022 | 916.81 Mn |
| Mar 31, 2022 | 884.13 Mn |
| Dec 31, 2021 | 863.06 Mn |
API Access
Albany International Retained Earnings 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=retained-earnings&ticker=AIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=AIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();