Armstrong World Industries (AWI) Change in Accrued Expenses (2009 - 2026)
Armstrong World Industries' Change in Accrued Expenses came in at $20.6 million for Q2 2026, up 164.1% from $7.8 million a year earlier.
Armstrong World Industries (AWI) Change in Accrued Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Armstrong World Industries reported Change in Accrued Expenses of $52.6 million, up 230.8% year-over-year; for FY2025, it was $28.4 million, up 4.0% from FY2024.
- Going back by year, Change in Accrued Expenses was $27.3 million in FY2024 (+241.3%), $8 million in FY2023, -$1.8 million in FY2022 and $38.6 million in FY2021.
- The five-year range for quarterly Change in Accrued Expenses is -$24.9 million (Q1 2025) to $29.5 million (Q3 2025).
- Year-over-year, Change in Accrued Expenses increased in five of the last six quarters, with growth averaging 170.3%.
- The fastest year-over-year change in Change in Accrued Expenses over five years came in Q3 2024 (growth of 737.5%), and the weakest in Q2 2023 (a decline of 52.5%).
- Business Quant data shows AWI's Change in Accrued Expenses at -$13.5 million (Q1 2026), $16 million (Q4 2025) and $29.5 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 92.12 Bn | 86.76 Bn | 2.38 Bn | - |
| 2 | Johnson Controls International | 85.49 Bn | 85.52 Bn | 2.71 Bn | 951.00 Mn |
| 3 | Carrier Global | 43.38 Bn | 38.12 Bn | 1.90 Bn | 275.00 Mn |
| 4 | Comfort Systems Usa | 38.65 Bn | 32.60 Bn | 934.48 Mn | 465.94 Mn |
| 5 | Otis Worldwide | 29.75 Bn | 26.31 Bn | 1.16 Bn | -17.00 Mn |
| 6 | James Hardie Industries | 16.90 Bn | 16.08 Bn | 562.40 Mn | 13.60 Mn |
| 7 | Masco | 16.35 Bn | 14.41 Bn | 720.00 Mn | 45.00 Mn |
| 8 | Allegion | 15.98 Bn | 14.60 Bn | 548.20 Mn | - |
| 9 | Carlisle Companies | 15.35 Bn | 12.26 Bn | 494.90 Mn | - |
| 10 | Armstrong World Industries | 7.41 Bn | 7.07 Bn | 190.70 Mn | 14.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 14.20 Mn |
| Jun 30, 2026 | 20.60 Mn |
| Mar 31, 2026 | -13.50 Mn |
| Dec 31, 2025 | 16.00 Mn |
| Sep 30, 2025 | 29.50 Mn |
| Jun 30, 2025 | 7.80 Mn |
| Mar 31, 2025 | -24.90 Mn |
| Dec 31, 2024 | 12.90 Mn |
| Sep 30, 2024 | 20.10 Mn |
| Jun 30, 2024 | 12.50 Mn |
| Mar 31, 2024 | -18.20 Mn |
| Dec 31, 2023 | 6.90 Mn |
| Sep 30, 2023 | 2.40 Mn |
| Jun 30, 2023 | 10.40 Mn |
| Mar 31, 2023 | -11.70 Mn |
| Dec 31, 2022 | -6.00 Mn |
| Sep 30, 2022 | -200,000.00 |
| Jun 30, 2022 | 21.90 Mn |
| Mar 31, 2022 | -17.50 Mn |
| Dec 31, 2021 | 11.10 Mn |
Armstrong World Industries Change in Accrued Expenses 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=change-in-accured-expenses&ticker=AWI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=AWI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();