Smith A O (AOS) Restructuring Costs (2011 - 2026)
Smith A O's Restructuring Costs was $22.6 million in Q2 2026.
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Analysis
Smith A O (AOS) Restructuring Costs (2011 - 2026) Analysis & Trends
For FY2024, Restructuring Costs at Smith A O came in at $17.6 million, down 6.4% from FY2023.
- Restructuring Costs shows a four-year compound annual growth rate of 23.0% (FY2020 to FY2024).
- In earlier years, Restructuring Costs was $18.8 million in FY2023 and $7.7 million in FY2020.
- The Q2 2026 figure marks the highest quarterly Restructuring Costs in data going back to Q2 2011.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn |
| 2 | Johnson Controls International | 90.06 Bn | 87.82 Bn | 2.47 Bn |
| 3 | Comfort Systems Usa | 58.26 Bn | 53.51 Bn | 844.23 Mn |
| 4 | Carrier Global | 45.22 Bn | 39.85 Bn | 1.94 Bn |
| 5 | Otis Worldwide | 24.48 Bn | 21.09 Bn | 1.14 Bn |
| 6 | James Hardie Industries | 14.69 Bn | 13.43 Bn | 548.70 Mn |
| 7 | Masco | 13.29 Bn | 11.40 Bn | 868.00 Mn |
| 8 | Allegion | 13.08 Bn | 11.79 Bn | 517.50 Mn |
| 9 | Carlisle Companies | 12.82 Bn | 9.17 Bn | 568.40 Mn |
| 10 | Smith A O | 7.66 Bn | 6.91 Bn | 387.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.60 Mn |
| Sep 30, 2020 | 1.60 Mn |
| Jun 30, 2020 | 6.10 Mn |
| Mar 31, 2018 | 6.70 Mn |
| Dec 31, 2013 | 3.80 Mn |
| Sep 30, 2013 | 1.30 Mn |
| Jun 30, 2013 | 4.20 Mn |
| Mar 31, 2013 | 1.70 Mn |
| Jun 30, 2011 | -11.20 Mn |
API Access
Smith A O 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=AOS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "ticker": "AOS", "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=AOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();