Smith A O (AOS) Inventory (2009 - 2026)
Smith A O (AOS) recorded Inventory of $482.7 million in Q2 2026, down 7.0% from $519.3 million a year earlier and down 1.2% from the prior quarter.
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Analysis
Smith A O (AOS) Inventory (2009 - 2026) Analysis & Trends
At the end of FY2025, Smith A O reported Inventory of $479.3 million, down 9.9% from FY2024.
- Annual Inventory has a five-year compound annual growth rate of 9.8% (FY2020 to FY2025).
- Across earlier years, Inventory came in at $532.1 million in FY2024 (+7.0%), $497.4 million in FY2023 (-3.7%), $516.4 million in FY2022 (+15.3%) and $447.7 million in FY2021 (+49.2%).
- Quarterly Inventory has ranged from $357.7 million in Q3 2021 to $554.9 million in Q3 2024 over the past five years.
- On a year-over-year basis, Inventory has declined for five consecutive quarters, with an average decline of 2.8% over the last eight quarters.
- Peak year-over-year performance for Inventory in the last five years was growth of 56.2% in Q1 2022, against a decline of 9.9% in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $488.5 million (Q1 2026), $479.3 million (Q4 2025) and $507.3 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 98.74 Bn | 93.48 Bn | 2.26 Bn | 2.62 Bn |
| 2 | Johnson Controls International | 95.34 Bn | 95.38 Bn | 2.71 Bn | 2.00 Bn |
| 3 | Comfort Systems Usa | 47.16 Bn | 41.12 Bn | 934.48 Mn | 120.92 Mn |
| 4 | Carrier Global | 46.39 Bn | 41.03 Bn | 1.94 Bn | 2.76 Bn |
| 5 | Otis Worldwide | 27.77 Bn | 27.88 Bn | - | 689.00 Mn |
| 6 | Allegion | 15.37 Bn | 15.37 Bn | - | 539.40 Mn |
| 7 | James Hardie Industries | 15.14 Bn | 14.20 Bn | 548.70 Mn | 612.10 Mn |
| 8 | Masco | 14.67 Bn | 12.74 Bn | 720.00 Mn | 1.05 Bn |
| 9 | Carlisle Companies | 13.75 Bn | 13.75 Bn | - | - |
| 10 | Smith A O | 8.28 Bn | 7.52 Bn | 387.80 Mn | 482.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 482.70 Mn |
| Mar 31, 2026 | 488.50 Mn |
| Dec 31, 2025 | 479.30 Mn |
| Sep 30, 2025 | 507.30 Mn |
| Jun 30, 2025 | 519.30 Mn |
| Mar 31, 2025 | 532.60 Mn |
| Dec 31, 2024 | 532.10 Mn |
| Sep 30, 2024 | 554.90 Mn |
| Jun 30, 2024 | 544.70 Mn |
| Mar 31, 2024 | 522.30 Mn |
| Dec 31, 2023 | 497.40 Mn |
| Sep 30, 2023 | 519.00 Mn |
| Jun 30, 2023 | 508.50 Mn |
| Mar 31, 2023 | 503.70 Mn |
| Dec 31, 2022 | 516.40 Mn |
| Sep 30, 2022 | 525.60 Mn |
| Jun 30, 2022 | 493.00 Mn |
| Mar 31, 2022 | 488.70 Mn |
| Dec 31, 2021 | 447.70 Mn |
| Sep 30, 2021 | 357.70 Mn |
API Access
Smith A O Inventory 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=inventory&ticker=AOS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=AOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();