Albany International (AIN) Restructuring Costs (2010 - 2026)
Albany International (AIN) recorded Restructuring Costs of $7.97 million in Q2 2026, up 90.6% from $4.18 million a year earlier and up 151.9% from the prior quarter.
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Analysis
Albany International (AIN) Restructuring Costs (2010 - 2026) Analysis & Trends
On a TTM basis, Albany International's Restructuring Costs came in at $18.12 million as of Jun 30, 2026, up 14.5% year-over-year; for FY2025, it was $13.68 million, up 1.8% from FY2024.
- Annual Restructuring Costs has a five-year compound annual growth rate of 19.0% (FY2020 to FY2025).
- Across earlier years, Restructuring Costs came in at $13.44 million in FY2024, $282,000 in FY2023 (+166.0%), $106,000 in FY2022 (-92.0%) and $1.33 million in FY2021 (-76.8%).
- The Q2 2026 figure is the highest quarterly Restructuring Costs since Q4 2015.
- On a year-over-year basis, Restructuring Costs rose in five of the last six quarters, with growth averaging 37.5%.
- Peak year-over-year performance for Restructuring Costs in the last five years was growth of 388.5% in Q1 2022, against a decline of 92.1% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $3.17 million (Q1 2026), $3.79 million (Q4 2025) and $3.2 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn |
| 10 | Albany International | 1.70 Bn | 1.29 Bn | 107.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.97 Mn |
| Mar 31, 2026 | 3.17 Mn |
| Dec 31, 2025 | 3.79 Mn |
| Sep 30, 2025 | 3.20 Mn |
| Jun 30, 2025 | 4.18 Mn |
| Mar 31, 2025 | 2.52 Mn |
| Dec 31, 2024 | 6.85 Mn |
| Sep 30, 2024 | 2.27 Mn |
| Jun 30, 2024 | 2.10 Mn |
| Mar 31, 2024 | 2.21 Mn |
| Dec 31, 2023 | 55,000.00 |
| Sep 30, 2023 | 82,000.00 |
| Jun 30, 2023 | 125,000.00 |
| Mar 31, 2023 | 20,000.00 |
| Dec 31, 2022 | -162,000.00 |
| Sep 30, 2022 | 42,000.00 |
| Jun 30, 2022 | -28,000.00 |
| Mar 31, 2022 | 254,000.00 |
| Dec 31, 2021 | 1.10 Mn |
| Sep 30, 2021 | 187,000.00 |
API Access
Albany International Restructuring Costs 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=restructuring-costs&ticker=AIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=AIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();