Armstrong World Industries (AWI) Capital Expenditures (2010 - 2026)
Armstrong World Industries (AWI) posted Capital Expenditures of $24 million for Q2 2026, up 20.6% from $19.9 million a year earlier and up 35.6% from the prior quarter.
Armstrong World Industries (AWI) Capital Expenditures (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Capital Expenditures at Armstrong World Industries was $112.1 million, up 28.6% year-over-year; for FY2025, it was $109.4 million, up 32.1% from FY2024.
- Annual Capital Expenditures shows a five-year compound annual growth rate of 14.6% (FY2020 to FY2025).
- In prior years, Armstrong World Industries' Capital Expenditures was $82.8 million in FY2024 (-1.2%), $83.8 million in FY2023 (+12.0%), $74.8 million in FY2022 (-6.3%) and $79.8 million in FY2021 (+44.0%).
- Quarterly Capital Expenditures has run from a low of $12 million in Q1 2022 to a high of $47.8 million in Q4 2025 over five years.
- On a year-over-year basis, Capital Expenditures increased in six of the last eight quarters, with growth averaging 18.9%.
- The strongest year-over-year quarter for Capital Expenditures in the past five years was Q1 2023, with growth of 85.8%; the weakest was Q1 2024, with a decline of 34.1%.
- According to Business Quant data, Capital Expenditures for the three prior quarters was $17.7 million (Q1 2026), $47.8 million (Q4 2025) and $22.6 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn | 76.40 Mn |
| 2 | Johnson Controls International | 90.06 Bn | 87.82 Bn | 2.47 Bn | 95.00 Mn |
| 3 | Comfort Systems Usa | 58.26 Bn | 53.51 Bn | 844.23 Mn | 141.36 Mn |
| 4 | Carrier Global | 45.22 Bn | 39.85 Bn | 1.94 Bn | 117.00 Mn |
| 5 | Otis Worldwide | 24.48 Bn | 21.09 Bn | 1.14 Bn | 44.00 Mn |
| 6 | James Hardie Industries | 14.69 Bn | 13.43 Bn | 548.70 Mn | 89.80 Mn |
| 7 | Masco | 13.29 Bn | 11.40 Bn | 868.00 Mn | 43.00 Mn |
| 8 | Allegion | 13.08 Bn | 11.79 Bn | 517.50 Mn | 17.90 Mn |
| 9 | Carlisle Companies | 12.82 Bn | 9.17 Bn | 568.40 Mn | 41.70 Mn |
| 10 | Armstrong World Industries | 6.86 Bn | 6.50 Bn | 195.00 Mn | 24.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 24.00 Mn |
| Mar 31, 2026 | 17.70 Mn |
| Dec 31, 2025 | 47.80 Mn |
| Sep 30, 2025 | 22.60 Mn |
| Jun 30, 2025 | 19.90 Mn |
| Mar 31, 2025 | 19.10 Mn |
| Dec 31, 2024 | 28.80 Mn |
| Sep 30, 2024 | 19.40 Mn |
| Jun 30, 2024 | 19.90 Mn |
| Mar 31, 2024 | 14.70 Mn |
| Dec 31, 2023 | 23.70 Mn |
| Sep 30, 2023 | 18.60 Mn |
| Jun 30, 2023 | 19.20 Mn |
| Mar 31, 2023 | 22.30 Mn |
| Dec 31, 2022 | 28.30 Mn |
| Sep 30, 2022 | 18.60 Mn |
| Jun 30, 2022 | 15.90 Mn |
| Mar 31, 2022 | 12.00 Mn |
| Dec 31, 2021 | 31.90 Mn |
| Sep 30, 2021 | 17.20 Mn |
Armstrong World Industries Capital Expenditures 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=capital-expenditures&ticker=AWI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=AWI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();