Installed Building Products (IBP) Consolidated Net Income (2013 - 2026)
Installed Building Products (IBP) recorded Consolidated Net Income of $64.9 million in Q2 2026, down 5.9% from $69 million a year earlier but up 86.5% from the prior quarter.
Installed Building Products (IBP) Consolidated Net Income (2013 - 2026) Analysis & Trends
On a TTM basis, Installed Building Products' Consolidated Net Income came in at $250.7 million as of Jun 30, 2026, up 0.3% year-over-year; for FY2025, it came in at $265.4 million, up 3.4% from FY2024.
- Annual Consolidated Net Income has increased for 12 straight years, with a five-year compound annual growth rate of 22.2% (FY2020 to FY2025).
- Across earlier years, Consolidated Net Income came in at $256.6 million in FY2024 (+5.3%), $243.7 million in FY2023 (+9.1%), $223.4 million in FY2022 (+88.0%) and $118.8 million in FY2021 (+22.2%).
- Quarterly Consolidated Net Income has ranged from $29.4 million in Q4 2021 to $76.6 million in Q4 2025 over the past five years.
- On a year-over-year basis, Consolidated Net Income rose in five of the last eight quarters, with an average decline of 1.9%.
- Peak year-over-year performance for Consolidated Net Income in the last five years was growth of 133.6% in Q4 2022, against a decline of 23.3% in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $34.8 million (Q1 2026), $76.6 million (Q4 2025) and $74.4 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Consol Net Inc. (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 82.97 Bn | 81.16 Bn | 1.55 Bn | 459.58 Mn |
| 2 | Ferrovial | 35.82 Bn | 16.13 Bn | - | - |
| 3 | Emcor | 29.22 Bn | 25.61 Bn | 1.02 Bn | 403.69 Mn |
| 4 | Jacobs Solutions | 17.13 Bn | 11.78 Bn | 810.70 Mn | 135.81 Mn |
| 5 | Mastec | 13.77 Bn | 12.68 Bn | 556.28 Mn | 145.74 Mn |
| 6 | Sterling Infrastructure | 11.44 Bn | 9.80 Bn | 289.96 Mn | 168.65 Mn |
| 7 | IES Holdings | 8.80 Bn | 7.66 Bn | 340.66 Mn | 153.55 Mn |
| 8 | Stantec | 8.31 Bn | 7.24 Bn | 1.36 Bn | 188.76 Mn |
| 9 | Aecom | 7.83 Bn | 3.16 Bn | -34.04 Mn | -82.89 Mn |
| 10 | Installed Building Products | 5.26 Bn | 3.74 Bn | 258.90 Mn | 64.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 64.90 Mn |
| Mar 31, 2026 | 34.80 Mn |
| Dec 31, 2025 | 76.60 Mn |
| Sep 30, 2025 | 74.40 Mn |
| Jun 30, 2025 | 69.00 Mn |
| Mar 31, 2025 | 45.40 Mn |
| Dec 31, 2024 | 66.90 Mn |
| Sep 30, 2024 | 68.60 Mn |
| Jun 30, 2024 | 65.20 Mn |
| Mar 31, 2024 | 55.90 Mn |
| Dec 31, 2023 | 64.80 Mn |
| Sep 30, 2023 | 68.00 Mn |
| Jun 30, 2023 | 61.60 Mn |
| Mar 31, 2023 | 49.30 Mn |
| Dec 31, 2022 | 68.70 Mn |
| Sep 30, 2022 | 60.98 Mn |
| Jun 30, 2022 | 59.90 Mn |
| Mar 31, 2022 | 33.82 Mn |
| Dec 31, 2021 | 29.40 Mn |
| Sep 30, 2021 | 34.89 Mn |
Installed Building Products Consolidated Net Income 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=consolidated-net-income&ticker=IBP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "consolidated-net-income", "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=consolidated-net-income&ticker=IBP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();