Installed Building Products (IBP) Income Taxes Paid (2013 - 2026)
Installed Building Products (IBP) posted Income Taxes Paid of $37.1 million for Q2 2026, up 3.3% from $35.9 million a year earlier.
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Analysis
Installed Building Products (IBP) Income Taxes Paid (2013 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Income Taxes Paid at Installed Building Products was $82 million, up 5.8% year-over-year; for FY2025, it was $82.1 million, down 1.8% from FY2024.
- Annual Income Taxes Paid shows a five-year compound annual growth rate of 17.2% (FY2020 to FY2025).
- In prior years, Installed Building Products' Income Taxes Paid was $83.6 million in FY2024 (-9.6%), $92.5 million in FY2023 (+33.9%), $69.1 million in FY2022 (+76.3%) and $39.2 million in FY2021 (+5.7%).
- The Q2 2026 figure stands as the highest quarterly Income Taxes Paid since Q2 2024.
- On a year-over-year basis, Income Taxes Paid increased in three of the last seven quarters, with an average decline of 4.0%.
- The strongest year-over-year quarter for Income Taxes Paid in the past five years was Q4 2022, with growth of 117.4%; the weakest was Q4 2021, with a decline of 49.4%.
- According to Business Quant data, Income Taxes Paid for the three prior quarters was -$600,000 (Q1 2026), $24.4 million (Q4 2025) and $21.1 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes Paid (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 88.69 Bn | 85.06 Bn | 2.01 Bn | - |
| 2 | Ferrovial | 43.93 Bn | 22.18 Bn | - | - |
| 3 | Emcor | 28.82 Bn | 25.09 Bn | 1.11 Bn | - |
| 4 | Jacobs Solutions | 18.44 Bn | 13.11 Bn | 810.70 Mn | - |
| 5 | Mastec | 14.64 Bn | 13.17 Bn | 660.86 Mn | 30.38 Mn |
| 6 | Aecom | 9.00 Bn | 4.12 Bn | -34.04 Mn | - |
| 7 | Sterling Infrastructure | 8.85 Bn | 7.27 Bn | 377.28 Mn | - |
| 8 | Stantec | 8.74 Bn | 7.67 Bn | 1.36 Bn | 36.00 Mn |
| 9 | Fluor | 6.92 Bn | -6.29 Bn | 179.00 Mn | 380.00 Mn |
| 10 | Installed Building Products | 5.92 Bn | 4.32 Bn | 257.40 Mn | 14.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 14.20 Mn |
| Jun 30, 2026 | 37.10 Mn |
| Mar 31, 2026 | -600,000.00 |
| Dec 31, 2025 | 24.40 Mn |
| Sep 30, 2025 | 21.10 Mn |
| Jun 30, 2025 | 35.90 Mn |
| Mar 31, 2025 | 700,000.00 |
| Dec 31, 2024 | 20.80 Mn |
| Sep 30, 2024 | 20.10 Mn |
| Jun 30, 2024 | 41.90 Mn |
| Mar 31, 2024 | 800,000.00 |
| Dec 31, 2023 | 28.30 Mn |
| Sep 30, 2023 | 20.10 Mn |
| Jun 30, 2023 | 42.60 Mn |
| Mar 31, 2023 | 1.50 Mn |
| Dec 31, 2022 | 25.59 Mn |
| Sep 30, 2022 | 21.20 Mn |
| Jun 30, 2022 | 21.22 Mn |
| Mar 31, 2022 | 1.09 Mn |
| Dec 31, 2021 | 11.77 Mn |
API Access
Installed Building Products Income Taxes Paid 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=income-taxes-paid&ticker=IBP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-taxes-paid", "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=income-taxes-paid&ticker=IBP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();