Albany International (AIN) Cash & Equivalents (2009 - 2026)
Albany International (AIN) reported Cash & Equivalents of $77.35 million for Q2 2026, down 27.5% from $106.69 million a year earlier and down 36.9% from the prior quarter.
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%).
- The Q2 2026 figure ranks as the lowest quarterly Cash & Equivalents in data going back to Q4 2009.
- Year over year, Cash & Equivalents gained in 1 of the last eight quarters, with an average decline of 14.3%.
- The high point for year-over-year Cash & Equivalents in five years was Q3 2021 (growth of 32.9%); the low point was Q2 2024 (a decline of 61.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $122.56 million (Q1 2026), $112.35 million (Q4 2025) and $108.31 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.20 Bn | 278.20 Bn | 4.68 Bn | 9.35 Bn |
| 2 | Rtx | 249.38 Bn | 222.59 Bn | 5.13 Bn | 8.31 Bn |
| 3 | Boeing | 152.06 Bn | 58.76 Bn | 2.41 Bn | 7.24 Bn |
| 4 | Lockheed Martin | 116.66 Bn | 103.39 Bn | 2.45 Bn | 3.79 Bn |
| 5 | Howmet Aerospace | 91.36 Bn | 86.97 Bn | 951.00 Mn | 563.00 Mn |
| 6 | General Dynamics | 90.03 Bn | 77.14 Bn | 2.18 Bn | 4.33 Bn |
| 7 | Motorola Solutions | 74.17 Bn | 70.53 Bn | 1.68 Bn | 710.00 Mn |
| 8 | Northrop Grumman | 68.46 Bn | 57.71 Bn | 2.12 Bn | 2.31 Bn |
| 9 | Honeywell International | 67.76 Bn | 20.21 Bn | 3.65 Bn | 8.75 Bn |
| 10 | Albany International | 1.68 Bn | 1.26 Bn | 107.90 Mn | 77.35 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 286.22 Mn |
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_KEY
import 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();