Armstrong World Industries (AWI) Income After Tax (2009 - 2026)
Armstrong World Industries (AWI) recorded Income After Tax of $96.7 million in Q2 2026, up 10.1% from $87.8 million a year earlier and up 44.8% from the prior quarter.
Armstrong World Industries (AWI) Income After Tax (2009 - 2026) Analysis & Trends
On a TTM basis, Armstrong World Industries' Income After Tax came in at $315.3 million as of Jun 30, 2026, up 6.5% year-over-year; for FY2025, it came in at $308.7 million, up 16.5% from FY2024.
- Annual Income After Tax has increased for four straight years.
- Across earlier years, Income After Tax came in at $264.9 million in FY2024 (+18.4%), $223.8 million in FY2023 (+12.0%), $199.9 million in FY2022 (+7.9%) and $185.3 million in FY2021.
- The Q2 2026 figure is the highest quarterly Income After Tax since Q4 2017.
- On a year-over-year basis, Income After Tax rose in seven of the last eight quarters, with growth averaging 14.6%.
- Peak year-over-year performance for Income After Tax in the last five years was growth of 33.2% in Q2 2025, against a decline of 6.3% in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $66.8 million (Q1 2026), $65.5 million (Q4 2025) and $86.3 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Income After Tax (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 92.12 Bn | 86.76 Bn | 2.38 Bn | 1.07 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 | -2.54 Bn |
| 4 | Comfort Systems Usa | 38.65 Bn | 32.60 Bn | 934.48 Mn | 489.04 Mn |
| 5 | Otis Worldwide | 29.75 Bn | 26.31 Bn | 1.16 Bn | 426.00 Mn |
| 6 | James Hardie Industries | 16.90 Bn | 16.08 Bn | 562.40 Mn | 149.80 Mn |
| 7 | Masco | 16.35 Bn | 14.41 Bn | 720.00 Mn | 240.00 Mn |
| 8 | Allegion | 15.98 Bn | 14.60 Bn | 548.20 Mn | 220.90 Mn |
| 9 | Carlisle Companies | 15.35 Bn | 12.26 Bn | 494.90 Mn | 207.40 Mn |
| 10 | Armstrong World Industries | 7.41 Bn | 7.07 Bn | 190.70 Mn | 91.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 91.90 Mn |
| Jun 30, 2026 | 96.70 Mn |
| Mar 31, 2026 | 66.80 Mn |
| Dec 31, 2025 | 65.50 Mn |
| Sep 30, 2025 | 86.30 Mn |
| Jun 30, 2025 | 87.80 Mn |
| Mar 31, 2025 | 69.10 Mn |
| Dec 31, 2024 | 62.20 Mn |
| Sep 30, 2024 | 76.90 Mn |
| Jun 30, 2024 | 65.90 Mn |
| Mar 31, 2024 | 59.90 Mn |
| Dec 31, 2023 | 46.80 Mn |
| Sep 30, 2023 | 69.50 Mn |
| Jun 30, 2023 | 60.20 Mn |
| Mar 31, 2023 | 47.30 Mn |
| Dec 31, 2022 | 48.80 Mn |
| Sep 30, 2022 | 54.50 Mn |
| Jun 30, 2022 | 52.20 Mn |
| Mar 31, 2022 | 44.40 Mn |
| Dec 31, 2021 | 41.90 Mn |
Armstrong World Industries Income After Tax 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=profit-after-tax&ticker=AWI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "profit-after-tax", "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=profit-after-tax&ticker=AWI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();