Smith A O (AOS) Property, Plant & Equipment (Net) (2009 - 2026)
Smith A O (AOS) recorded Property, Plant & Equipment (Net) of $614.5 million in Q3 2026, down 2.9% from $633 million a year earlier and down 0.7% from the prior quarter.
Smith A O (AOS) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
At the end of FY2025, Smith A O reported Property, Plant & Equipment (Net) of $635.1 million, up 1.0% from FY2024.
- Annual Property, Plant & Equipment (Net) has increased for three straight years, with a five-year compound annual growth rate of 3.2% (FY2020 to FY2025).
- Across earlier years, Property, Plant & Equipment (Net) came in at $628.7 million in FY2024 (+5.2%), $597.5 million in FY2023 (+1.2%), $590.7 million in FY2022 (-2.6%) and $606.7 million in FY2021 (+12.1%).
- The Q3 2026 figure is the lowest quarterly Property, Plant & Equipment (Net) since Q2 2024.
- On a year-over-year basis, Property, Plant & Equipment (Net) has declined for three consecutive quarters, with growth averaging 1.6% over the last eight quarters.
- Peak year-over-year performance for Property, Plant & Equipment (Net) in the last five years was growth of 12.1% in Q4 2021, against a decline of 2.9% in Q3 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $619 million (Q2 2026), $632.2 million (Q1 2026) and $635.1 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 88.43 Bn | 83.04 Bn | 2.38 Bn | 2.46 Bn |
| 2 | Johnson Controls International | 81.95 Bn | 79.68 Bn | 2.47 Bn | 1.98 Bn |
| 3 | Carrier Global | 43.09 Bn | 37.47 Bn | 1.90 Bn | 3.15 Bn |
| 4 | Comfort Systems Usa | 35.64 Bn | 29.60 Bn | 934.48 Mn | 862.73 Mn |
| 5 | Otis Worldwide | 30.11 Bn | 26.50 Bn | 1.16 Bn | 771.00 Mn |
| 6 | James Hardie Industries | 16.21 Bn | 15.14 Bn | 562.40 Mn | 2.62 Bn |
| 7 | Masco | 16.11 Bn | 13.92 Bn | 720.00 Mn | 1.18 Bn |
| 8 | Allegion | 15.72 Bn | 14.35 Bn | 548.20 Mn | 457.20 Mn |
| 9 | Carlisle Companies | 14.80 Bn | 11.71 Bn | 494.90 Mn | 847.20 Mn |
| 10 | Smith A O | 8.74 Bn | 7.93 Bn | 364.70 Mn | 614.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 614.50 Mn |
| Jun 30, 2026 | 619.00 Mn |
| Mar 31, 2026 | 632.20 Mn |
| Dec 31, 2025 | 635.10 Mn |
| Sep 30, 2025 | 633.00 Mn |
| Jun 30, 2025 | 637.10 Mn |
| Mar 31, 2025 | 634.40 Mn |
| Dec 31, 2024 | 628.70 Mn |
| Sep 30, 2024 | 624.60 Mn |
| Jun 30, 2024 | 603.20 Mn |
| Mar 31, 2024 | 599.00 Mn |
| Dec 31, 2023 | 597.50 Mn |
| Sep 30, 2023 | 581.10 Mn |
| Jun 30, 2023 | 576.80 Mn |
| Mar 31, 2023 | 585.50 Mn |
| Dec 31, 2022 | 590.70 Mn |
| Sep 30, 2022 | 583.60 Mn |
| Jun 30, 2022 | 592.70 Mn |
| Mar 31, 2022 | 602.80 Mn |
| Dec 31, 2021 | 606.70 Mn |
Smith A O Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=AOS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=AOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();