Armstrong World Industries (AWI) Operating Income (2010 - 2026)
Armstrong World Industries' Operating Income was $133.8 million in Q2 2026, up 8.6% from $123.2 million a year earlier and up 42.0% from the prior quarter.
Armstrong World Industries (AWI) Operating Income (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Armstrong World Industries' Operating Income was $437.2 million through Jun 30, 2026, up 5.4% 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%).
- The Q2 2026 figure marks the highest quarterly Operating Income in data going back to Q2 2010.
- Compared with a year earlier, Operating Income was higher in seven of the last eight quarters, with growth averaging 12.6%.
- 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 Q2 2026 was $94.2 million (Q1 2026), $92 million (Q4 2025) and $117.2 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 100.25 Bn | 94.99 Bn | 2.26 Bn | 1.22 Bn |
| 2 | Johnson Controls International | 90.55 Bn | 88.31 Bn | 2.47 Bn | 987.00 Mn |
| 3 | Comfort Systems Usa | 58.58 Bn | 53.83 Bn | 844.23 Mn | 557.97 Mn |
| 4 | Carrier Global | 45.65 Bn | 40.28 Bn | 1.94 Bn | 825.00 Mn |
| 5 | Otis Worldwide | 24.99 Bn | 21.59 Bn | 1.14 Bn | 575.00 Mn |
| 6 | James Hardie Industries | 14.56 Bn | 13.29 Bn | 548.70 Mn | 217.70 Mn |
| 7 | Masco | 13.48 Bn | 11.59 Bn | 868.00 Mn | 470.00 Mn |
| 8 | Allegion | 13.22 Bn | 11.93 Bn | 517.50 Mn | 254.70 Mn |
| 9 | Carlisle Companies | 12.96 Bn | 9.31 Bn | 568.40 Mn | 352.50 Mn |
| 10 | Armstrong World Industries | 6.91 Bn | 6.55 Bn | 195.00 Mn | 133.80 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 72.10 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();