Installed Building Products (IBP) Return on Sales [ROS] (2013 - 2026)
Installed Building Products (IBP) posted Return on Sales [ROS] of 12.16% for Q2 2026, down 1.12 percentage points from 13.28% a year earlier but up 3.44 percentage points from the prior quarter.
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Analysis
Installed Building Products (IBP) Return on Sales [ROS] (2013 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Installed Building Products was 12.41%, down 0.13 percentage points year-over-year; for FY2025, it was 13.01%, unchanged from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of +3.22 percentage points (FY2020 to FY2025).
- In prior years, Installed Building Products' Return on Sales [ROS] was 13.00% in FY2024 (-0.28 pp), 13.28% in FY2023 (+0.35 pp), 12.94% in FY2022 (+3.39 pp) and 9.54% in FY2021 (-0.25 pp).
- Quarterly Return on Sales [ROS] has run from a low of 8.72% in Q1 2026 to a high of 14.93% in Q4 2022 over five years.
- On a year-over-year basis, Return on Sales [ROS] increased in three of the last eight quarters, with an average year-over-year change of -0.55 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q4 2022, with a gain of 5.79 percentage points; the weakest was Q1 2025, with a drop of 2.49 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 8.72% (Q1 2026), 14.56% (Q4 2025) and 13.72% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 89.81 Bn | 87.89 Bn | 1.55 Bn | 7.27% |
| 2 | Ferrovial | 35.40 Bn | 13.65 Bn | - | - |
| 3 | Emcor | 31.21 Bn | 27.60 Bn | 1.02 Bn | 10.62% |
| 4 | Jacobs Solutions | 16.43 Bn | 11.10 Bn | 810.70 Mn | 7.03% |
| 5 | Mastec | 14.65 Bn | 13.43 Bn | 556.28 Mn | 5.17% |
| 6 | Sterling Infrastructure | 12.67 Bn | 10.99 Bn | 289.96 Mn | 18.77% |
| 7 | IES Holdings | 9.64 Bn | 8.50 Bn | 340.66 Mn | 14.37% |
| 8 | Stantec | 7.86 Bn | 6.79 Bn | 1.36 Bn | 12.58% |
| 9 | Aecom | 7.59 Bn | 2.71 Bn | -34.04 Mn | -2.12% |
| 10 | Installed Building Products | 5.05 Bn | 3.53 Bn | 258.90 Mn | 12.16% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.16% |
| Mar 31, 2026 | 8.72% |
| Dec 31, 2025 | 14.56% |
| Sep 30, 2025 | 13.72% |
| Jun 30, 2025 | 13.28% |
| Mar 31, 2025 | 10.19% |
| Dec 31, 2024 | 13.13% |
| Sep 30, 2024 | 13.32% |
| Jun 30, 2024 | 12.85% |
| Mar 31, 2024 | 12.69% |
| Dec 31, 2023 | 13.54% |
| Sep 30, 2023 | 14.48% |
| Jun 30, 2023 | 13.34% |
| Mar 31, 2023 | 11.66% |
| Dec 31, 2022 | 14.93% |
| Sep 30, 2022 | 13.06% |
| Jun 30, 2022 | 13.60% |
| Mar 31, 2022 | 9.70% |
| Dec 31, 2021 | 9.14% |
| Sep 30, 2021 | 10.67% |
API Access
Installed Building Products Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=IBP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=IBP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();