Smith A O (AOS) Total Non-Current Liabilities (2009 - 2026)
Smith A O (AOS) posted Total Non-Current Liabilities of $1.65 billion for Q2 2026, up 29.7% from $1.27 billion a year earlier and up 1.3% from the prior quarter.
Smith A O (AOS) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Smith A O's Total Non-Current Liabilities came in at $1.15 billion, down 7.0% from FY2024.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of 0.2% (FY2020 to FY2025).
- In prior years, Smith A O's Total Non-Current Liabilities was $1.23 billion in FY2024 (+0.8%), $1.22 billion in FY2023 (-13.8%), $1.42 billion in FY2022 (-2.8%) and $1.46 billion in FY2021 (+28.6%).
- The Q2 2026 figure stands as the highest quarterly Total Non-Current Liabilities in data going back to Q4 2009.
- On a year-over-year basis, Total Non-Current Liabilities increased in six of the last eight quarters, with growth averaging 9.5%.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q1 2022, with growth of 34.0%; the weakest was Q1 2024, with a decline of 16.8%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $1.63 billion (Q1 2026), $1.15 billion (Q4 2025) and $1.19 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson Controls International | 95.39 Bn | 95.39 Bn | 2.71 Bn | 13.64 Bn |
| 2 | Trane Technologies | 94.68 Bn | 89.40 Bn | 2.26 Bn | 13.62 Bn |
| 3 | Comfort Systems Usa | 47.45 Bn | 41.41 Bn | 934.48 Mn | 6.28 Bn |
| 4 | Carrier Global | 45.14 Bn | 39.45 Bn | 1.94 Bn | 21.79 Bn |
| 5 | Otis Worldwide | 28.22 Bn | 28.22 Bn | - | - |
| 6 | Allegion | 15.89 Bn | 15.89 Bn | - | - |
| 7 | James Hardie Industries | 15.63 Bn | 14.70 Bn | 548.70 Mn | 6.83 Bn |
| 8 | Masco | 15.48 Bn | 13.29 Bn | 720.00 Mn | 5.40 Bn |
| 9 | Carlisle Companies | 14.60 Bn | 14.60 Bn | - | - |
| 10 | Smith A O | 8.48 Bn | 7.73 Bn | 387.80 Mn | 1.51 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.51 Bn |
| Mar 31, 2026 | 1.49 Bn |
| Dec 31, 2025 | 1.01 Bn |
| Sep 30, 2025 | 1.05 Bn |
| Jun 30, 2025 | 1.16 Bn |
| Mar 31, 2025 | 1.17 Bn |
| Dec 31, 2024 | 1.11 Bn |
| Sep 30, 2024 | 977.40 Mn |
| Jun 30, 2024 | 1.03 Bn |
| Mar 31, 2024 | 1.02 Bn |
| Dec 31, 2023 | 1.10 Bn |
| Sep 30, 2023 | 1.04 Bn |
| Jun 30, 2023 | 1.08 Bn |
| Mar 31, 2023 | 1.25 Bn |
| Dec 31, 2022 | 1.30 Bn |
| Sep 30, 2022 | 1.21 Bn |
| Jun 30, 2022 | 1.24 Bn |
| Mar 31, 2022 | 1.32 Bn |
| Dec 31, 2021 | 1.35 Bn |
| Sep 30, 2021 | 1.11 Bn |
Smith A O Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=AOS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=AOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();