Armstrong World Industries (AWI) Operating Income (2009 - 2026)
Armstrong World Industries' Operating Income was $131.2 million in Q3 2026, up 11.9% from $117.2 million a year earlier but down 1.9% from the prior quarter.
Armstrong World Industries (AWI) Operating Income (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Armstrong World Industries' Operating Income was $451.2 million through Sep 30, 2026, up 7.2% year-over-year; for FY2025, it came in at $430.9 million, up 15.1% from FY2024.
- Operating Income has now increased for five consecutive years, with a five-year compound annual growth rate of 11.1% (FY2020 to FY2025).
- In earlier years, Operating Income was $374.3 million in FY2024 (+15.6%), $323.7 million in FY2023 (+16.1%), $278.7 million in FY2022 (+7.2%) and $260 million in FY2021 (+2.0%).
- Quarterly Operating Income has moved between $55.5 million (Q4 2021) and $133.8 million (Q2 2026) over five years.
- Compared with a year earlier, Operating Income was higher in seven of the last eight quarters, with growth averaging 12.7%.
- The best year-over-year quarter for Operating Income over five years was Q3 2023 (growth of 36.7%); the worst was Q2 2022 (a decline of 8.6%).
- Per Business Quant data, AWI's Operating Income in the three quarters before Q3 2026 was $133.8 million (Q2 2026), $94.2 million (Q1 2026) and $92 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 92.12 Bn | 86.76 Bn | 2.38 Bn | 1.34 Bn |
| 2 | Johnson Controls International | 85.49 Bn | 85.52 Bn | 2.71 Bn | - |
| 3 | Carrier Global | 43.38 Bn | 38.12 Bn | 1.90 Bn | -2.27 Bn |
| 4 | Comfort Systems Usa | 38.65 Bn | 32.60 Bn | 934.48 Mn | 624.57 Mn |
| 5 | Otis Worldwide | 29.75 Bn | 26.31 Bn | 1.16 Bn | 620.00 Mn |
| 6 | James Hardie Industries | 16.90 Bn | 16.08 Bn | 562.40 Mn | 263.30 Mn |
| 7 | Masco | 16.35 Bn | 14.41 Bn | 720.00 Mn | 338.00 Mn |
| 8 | Allegion | 15.98 Bn | 14.60 Bn | 548.20 Mn | 284.60 Mn |
| 9 | Carlisle Companies | 15.35 Bn | 12.26 Bn | 494.90 Mn | 293.20 Mn |
| 10 | Armstrong World Industries | 7.41 Bn | 7.07 Bn | 190.70 Mn | 131.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 131.20 Mn |
| Jun 30, 2026 | 133.80 Mn |
| Mar 31, 2026 | 94.20 Mn |
| Dec 31, 2025 | 92.00 Mn |
| Sep 30, 2025 | 117.20 Mn |
| Jun 30, 2025 | 123.20 Mn |
| Mar 31, 2025 | 98.50 Mn |
| Dec 31, 2024 | 81.90 Mn |
| Sep 30, 2024 | 111.30 Mn |
| Jun 30, 2024 | 95.00 Mn |
| Mar 31, 2024 | 86.10 Mn |
| Dec 31, 2023 | 66.30 Mn |
| Sep 30, 2023 | 100.20 Mn |
| Jun 30, 2023 | 87.00 Mn |
| Mar 31, 2023 | 70.20 Mn |
| Dec 31, 2022 | 70.60 Mn |
| Sep 30, 2022 | 73.30 Mn |
| Jun 30, 2022 | 71.60 Mn |
| Mar 31, 2022 | 63.20 Mn |
| Dec 31, 2021 | 55.50 Mn |
Armstrong World Industries Operating Income 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-income&ticker=AWI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-income", "ticker": "AWI", "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-income&ticker=AWI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();