Installed Building Products (IBP) EBITDA (2014 - 2026)
Installed Building Products' EBITDA was $122.9 million in Q2 2026, down 3.6% from $127.5 million a year earlier but up 43.6% from the prior quarter.
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Analysis
Installed Building Products (IBP) EBITDA (2014 - 2026) Analysis & Trends
On a trailing twelve-month basis, Installed Building Products' EBITDA was $478.5 million through Jun 30, 2026, up 0.5% year-over-year; for FY2025, it was $493.7 million, up 2.0% from FY2024.
- EBITDA has now increased for 13 consecutive years, with a five-year compound annual growth rate of 16.3% (FY2020 to FY2025).
- In earlier years, EBITDA was $484.1 million in FY2024 (+3.9%), $465.8 million in FY2023 (+6.7%), $436.5 million in FY2022 (+62.5%) and $268.6 million in FY2021 (+15.9%).
- Quarterly EBITDA has moved between $70.19 million (Q4 2021) and $136.6 million (Q4 2025) over five years.
- Compared with a year earlier, EBITDA was higher in five of the last eight quarters, with an average decline of 0.6%.
- The best year-over-year quarter for EBITDA over five years was Q4 2022 (growth of 77.7%); the worst was Q1 2025 (a decline of 14.4%).
- Per Business Quant data, IBP's EBITDA in the three quarters before Q2 2026 was $85.6 million (Q1 2026), $136.6 million (Q4 2025) and $133.4 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 92.79 Bn | 90.87 Bn | 1.55 Bn | 968.93 Mn |
| 2 | Ferrovial | 35.38 Bn | 13.63 Bn | - | - |
| 3 | Emcor | 31.89 Bn | 28.28 Bn | 1.02 Bn | 601.60 Mn |
| 4 | Jacobs Solutions | 16.27 Bn | 10.94 Bn | 810.70 Mn | 343.89 Mn |
| 5 | Mastec | 14.89 Bn | 13.67 Bn | 556.28 Mn | 351.08 Mn |
| 6 | Sterling Infrastructure | 12.96 Bn | 11.29 Bn | 289.96 Mn | 244.44 Mn |
| 7 | IES Holdings | 9.98 Bn | 8.84 Bn | 340.66 Mn | 195.65 Mn |
| 8 | Stantec | 7.83 Bn | 6.75 Bn | 1.36 Bn | 458.26 Mn |
| 9 | Aecom | 7.47 Bn | 2.59 Bn | -34.04 Mn | -20.06 Mn |
| 10 | Installed Building Products | 4.85 Bn | 3.33 Bn | 258.90 Mn | 123.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 123.30 Mn |
| Mar 31, 2026 | 86.10 Mn |
| Dec 31, 2025 | 136.90 Mn |
| Sep 30, 2025 | 133.80 Mn |
| Jun 30, 2025 | 127.90 Mn |
| Mar 31, 2025 | 96.60 Mn |
| Dec 31, 2024 | 125.70 Mn |
| Sep 30, 2024 | 127.30 Mn |
| Jun 30, 2024 | 119.90 Mn |
| Mar 31, 2024 | 112.80 Mn |
| Dec 31, 2023 | 122.40 Mn |
| Sep 30, 2023 | 127.00 Mn |
| Jun 30, 2023 | 117.00 Mn |
| Mar 31, 2023 | 101.30 Mn |
| Dec 31, 2022 | 125.16 Mn |
| Sep 30, 2022 | 117.75 Mn |
| Jun 30, 2022 | 115.62 Mn |
| Mar 31, 2022 | 79.88 Mn |
| Dec 31, 2021 | 70.60 Mn |
| Sep 30, 2021 | 74.90 Mn |
API Access
Installed Building Products EBITDA 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=ebitda&ticker=IBP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=IBP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();