Armstrong World Industries (AWI) Gross Margin (2009 - 2026)
Armstrong World Industries (AWI) reported Gross Margin of 41.31% for Q2 2026, down 0.09 percentage points from 41.40% a year earlier but up 3.43 percentage points from the prior quarter.
Armstrong World Industries (AWI) Gross Margin (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Armstrong World Industries' Gross Margin came in at 40.30%, down 0.28 percentage points year-over-year; for FY2025, it came in at 40.64%, up 0.41 percentage points from FY2024.
- Gross Margin has increased for three consecutive years, with a five-year change of +5.09 percentage points (FY2020 to FY2025).
- By year, Gross Margin came in at 40.23% in FY2024 (+1.86 pp), 38.37% in FY2023 (+1.95 pp), 36.42% in FY2022 (-0.23 pp) and 36.65% in FY2021 (+1.10 pp).
- Five-year quarterly Gross Margin spans a low of 36.14% in Q1 2023 and a high of 42.45% in Q3 2024.
- Year over year, Gross Margin gained in five of the last eight quarters, with an average year-over-year change of +0.38 percentage points.
- The high point for year-over-year Gross Margin in five years was Q3 2023 (a gain of 4.56 percentage points); the low point was Q3 2022 (a drop of 1.73 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 37.89% (Q1 2026), 39.79% (Q4 2025) and 41.98% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 92.12 Bn | 86.76 Bn | 2.38 Bn | 35.28% |
| 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 | 30.35% |
| 4 | Comfort Systems Usa | 38.65 Bn | 32.60 Bn | 934.48 Mn | 24.81% |
| 5 | Otis Worldwide | 29.75 Bn | 26.31 Bn | 1.16 Bn | 29.56% |
| 6 | James Hardie Industries | 16.90 Bn | 16.08 Bn | 562.40 Mn | 39.38% |
| 7 | Masco | 16.35 Bn | 14.41 Bn | 720.00 Mn | 36.62% |
| 8 | Allegion | 15.98 Bn | 14.60 Bn | 548.20 Mn | 46.75% |
| 9 | Carlisle Companies | 15.35 Bn | 12.26 Bn | 494.90 Mn | 33.82% |
| 10 | Armstrong World Industries | 7.41 Bn | 7.07 Bn | 190.70 Mn | 40.08% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 40.08% |
| Jun 30, 2026 | 41.31% |
| Mar 31, 2026 | 37.89% |
| Dec 31, 2025 | 39.79% |
| Sep 30, 2025 | 41.98% |
| Jun 30, 2025 | 41.40% |
| Mar 31, 2025 | 39.17% |
| Dec 31, 2024 | 39.14% |
| Sep 30, 2024 | 42.45% |
| Jun 30, 2024 | 40.89% |
| Mar 31, 2024 | 38.09% |
| Dec 31, 2023 | 38.26% |
| Sep 30, 2023 | 40.71% |
| Jun 30, 2023 | 38.11% |
| Mar 31, 2023 | 36.14% |
| Dec 31, 2022 | 36.62% |
| Sep 30, 2022 | 36.15% |
| Jun 30, 2022 | 36.73% |
| Mar 31, 2022 | 36.16% |
| Dec 31, 2021 | 36.28% |
Armstrong World Industries Gross Margin 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=gross-margin&ticker=AWI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "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=gross-margin&ticker=AWI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();