Albany International (AIN) Cash & Equivalents (2009 - 2026)
Albany International (AIN) reported Cash & Equivalents of $79.13 million for Q3 2026, down 26.9% from $108.31 million a year earlier but up 2.3% from the prior quarter.
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Analysis
Albany International (AIN) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Albany International posted Cash & Equivalents of $112.35 million, down 2.5% from FY2024.
- Cash & Equivalents has declined for four consecutive years, with a five-year compound annual growth rate of -14.2% (FY2020 to FY2025).
- By year, Cash & Equivalents came in at $115.28 million in FY2024 (-33.5%), $173.42 million in FY2023 (-40.6%), $291.78 million in FY2022 (-3.4%) and $302.04 million in FY2021 (+25.2%).
- Five-year quarterly Cash & Equivalents spans a low of $77.35 million in Q2 2026 and a high of $320.87 million in Q2 2022.
- Year over year, Cash & Equivalents gained in 1 of the last eight quarters, with an average decline of 14.5%.
- The high point for year-over-year Cash & Equivalents in five years was Q1 2022 (growth of 29.2%); the low point was Q2 2024 (a decline of 61.3%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $77.35 million (Q2 2026), $122.56 million (Q1 2026) and $112.35 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 342.77 Bn | 301.29 Bn | 5.02 Bn | 8.76 Bn |
| 2 | Rtx | 262.44 Bn | 230.71 Bn | 5.81 Bn | 9.17 Bn |
| 3 | Boeing | 138.30 Bn | 47.26 Bn | 2.17 Bn | 9.50 Bn |
| 4 | Lockheed Martin | 133.86 Bn | 118.09 Bn | 2.44 Bn | 5.96 Bn |
| 5 | General Dynamics | 97.12 Bn | 82.35 Bn | 2.25 Bn | 4.40 Bn |
| 6 | Motorola Solutions | 86.59 Bn | 83.05 Bn | 1.77 Bn | 774.00 Mn |
| 7 | Howmet Aerospace | 85.43 Bn | 81.18 Bn | 1.00 Bn | 507.00 Mn |
| 8 | Northrop Grumman | 76.09 Bn | 63.55 Bn | 2.35 Bn | 3.74 Bn |
| 9 | Honeywell International | 72.56 Bn | 32.07 Bn | 2.02 Bn | 5.69 Bn |
| 10 | Albany International | 1.97 Bn | 1.58 Bn | 140.38 Mn | 79.13 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 79.13 Mn |
| Jun 30, 2026 | 77.35 Mn |
| Mar 31, 2026 | 122.56 Mn |
| Dec 31, 2025 | 112.35 Mn |
| Sep 30, 2025 | 108.31 Mn |
| Jun 30, 2025 | 106.69 Mn |
| Mar 31, 2025 | 119.35 Mn |
| Dec 31, 2024 | 115.28 Mn |
| Sep 30, 2024 | 127.22 Mn |
| Jun 30, 2024 | 116.44 Mn |
| Mar 31, 2024 | 125.41 Mn |
| Dec 31, 2023 | 173.42 Mn |
| Sep 30, 2023 | 171.51 Mn |
| Jun 30, 2023 | 300.92 Mn |
| Mar 31, 2023 | 304.26 Mn |
| Dec 31, 2022 | 291.78 Mn |
| Sep 30, 2022 | 276.48 Mn |
| Jun 30, 2022 | 320.87 Mn |
| Mar 31, 2022 | 307.42 Mn |
| Dec 31, 2021 | 302.04 Mn |
API Access
Albany International Cash & Equivalents 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=cash-and-equivalents&ticker=AIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=AIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();