Smith A O (AOS) Operating Leases (2019 - 2026)
Smith A O's Operating Leases came in at $39.2 million for Q2 2026, up 39.0% from $28.2 million a year earlier but down 3.7% from the prior quarter.
Powered by 
Analysis
Smith A O (AOS) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2025, Smith A O's Operating Leases was $37.1 million, up 57.9% from FY2024.
- Operating Leases carries a five-year compound annual growth rate of 1.5% (FY2020 to FY2025).
- Going back by year, Operating Leases was $23.5 million in FY2024 (-15.8%), $27.9 million in FY2023 (+24.6%), $22.4 million in FY2022 (+0.4%) and $22.3 million in FY2021 (-35.2%).
- The five-year range for quarterly Operating Leases is $22.3 million (Q4 2021) to $40.7 million (Q1 2026).
- Year-over-year, Operating Leases has increased for five consecutive quarters, with growth averaging 24.3% over the last eight quarters.
- The fastest year-over-year change in Operating Leases over five years came in Q1 2026 (growth of 61.5%), and the weakest in Q4 2021 (a decline of 35.2%).
- Business Quant data shows AOS's Operating Leases at $40.7 million (Q1 2026), $37.1 million (Q4 2025) and $35.6 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Trane Technologies | 98.74 Bn | 93.48 Bn | 2.26 Bn |
| 2 | Johnson Controls International | 95.34 Bn | 95.38 Bn | 2.71 Bn |
| 3 | Comfort Systems Usa | 47.16 Bn | 41.12 Bn | 934.48 Mn |
| 4 | Carrier Global | 46.39 Bn | 41.03 Bn | 1.94 Bn |
| 5 | Otis Worldwide | 27.77 Bn | 27.88 Bn | - |
| 6 | Allegion | 15.37 Bn | 15.37 Bn | - |
| 7 | James Hardie Industries | 15.14 Bn | 14.20 Bn | 548.70 Mn |
| 8 | Masco | 14.67 Bn | 12.74 Bn | 720.00 Mn |
| 9 | Carlisle Companies | 13.75 Bn | 13.75 Bn | - |
| 10 | Smith A O | 8.28 Bn | 7.52 Bn | 387.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 39.20 Mn |
| Mar 31, 2026 | 40.70 Mn |
| Dec 31, 2025 | 37.10 Mn |
| Sep 30, 2025 | 35.60 Mn |
| Jun 30, 2025 | 28.20 Mn |
| Mar 31, 2025 | 25.20 Mn |
| Dec 31, 2024 | 23.50 Mn |
| Sep 30, 2024 | 23.50 Mn |
| Jun 30, 2024 | 24.70 Mn |
| Mar 31, 2024 | 26.40 Mn |
| Dec 31, 2023 | 27.90 Mn |
| Sep 30, 2023 | 26.00 Mn |
| Jun 30, 2023 | 26.00 Mn |
| Mar 31, 2023 | 25.10 Mn |
| Dec 31, 2022 | 22.40 Mn |
| Sep 30, 2022 | 23.50 Mn |
| Jun 30, 2022 | 23.00 Mn |
| Mar 31, 2022 | 24.60 Mn |
| Dec 31, 2021 | 22.30 Mn |
| Sep 30, 2021 | 31.40 Mn |
API Access
Smith A O Operating Leases 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=operating-leases&ticker=AOS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=AOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();