Installed Building Products (IBP) Gross Margin (2013 - 2026)
Installed Building Products' Gross Margin was 33.29% in Q2 2026, down 0.90 percentage points from 34.18% a year earlier but up 1.14 percentage points from the prior quarter.
Installed Building Products (IBP) Gross Margin (2013 - 2026) Analysis & Trends
On a trailing twelve-month basis, Installed Building Products' Gross Margin was 33.63% through Jun 30, 2026, up 0.07 percentage points year-over-year; for FY2025, it came in at 33.97%, up 0.16 percentage points from FY2024.
- Gross Margin has now increased for four consecutive years, with a five-year change of +3.13 percentage points (FY2020 to FY2025).
- In earlier years, Gross Margin was 33.81% in FY2024 (+0.32 pp), 33.50% in FY2023 (+2.49 pp), 31.01% in FY2022 (+1.06 pp) and 29.94% in FY2021 (-0.90 pp).
- Quarterly Gross Margin has moved between 29.28% (Q4 2021) and 34.98% (Q4 2025) over five years.
- Compared with a year earlier, Gross Margin was higher in three of the last eight quarters, with an average year-over-year change of -0.24 percentage points.
- The best year-over-year quarter for Gross Margin over five years was Q3 2023 (a gain of 3.50 percentage points); the worst was Q4 2021 (a drop of 1.28 percentage points).
- Per Business Quant data, IBP's Gross Margin in the three quarters before Q2 2026 was 32.14% (Q1 2026), 34.98% (Q4 2025) and 33.95% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 89.81 Bn | 87.89 Bn | 1.55 Bn | 16.17% |
| 2 | Ferrovial | 35.40 Bn | 13.65 Bn | - | - |
| 3 | Emcor | 31.21 Bn | 27.60 Bn | 1.02 Bn | 19.83% |
| 4 | Jacobs Solutions | 16.43 Bn | 11.10 Bn | 810.70 Mn | 19.89% |
| 5 | Mastec | 14.65 Bn | 13.43 Bn | 556.28 Mn | 12.72% |
| 6 | Sterling Infrastructure | 12.67 Bn | 10.99 Bn | 289.96 Mn | 24.82% |
| 7 | IES Holdings | 9.64 Bn | 8.50 Bn | 340.66 Mn | 27.41% |
| 8 | Stantec | 7.86 Bn | 6.79 Bn | 1.36 Bn | 43.88% |
| 9 | Aecom | 7.59 Bn | 2.71 Bn | -34.04 Mn | -0.95% |
| 10 | Installed Building Products | 5.05 Bn | 3.53 Bn | 258.90 Mn | 33.29% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 33.29% |
| Mar 31, 2026 | 32.14% |
| Dec 31, 2025 | 34.98% |
| Sep 30, 2025 | 33.95% |
| Jun 30, 2025 | 34.18% |
| Mar 31, 2025 | 32.67% |
| Dec 31, 2024 | 33.56% |
| Sep 30, 2024 | 33.76% |
| Jun 30, 2024 | 34.08% |
| Mar 31, 2024 | 33.84% |
| Dec 31, 2023 | 34.09% |
| Sep 30, 2023 | 34.27% |
| Jun 30, 2023 | 33.59% |
| Mar 31, 2023 | 31.91% |
| Dec 31, 2022 | 31.67% |
| Sep 30, 2022 | 30.77% |
| Jun 30, 2022 | 32.02% |
| Mar 31, 2022 | 29.35% |
| Dec 31, 2021 | 29.28% |
| Sep 30, 2021 | 30.58% |
Installed Building Products 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=IBP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "ticker": "IBP", "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=IBP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();