Installed Building Products (IBP) Long-Term Debt Repayments (2013 - 2026)
Installed Building Products (IBP) reported Long-Term Debt Repayments of $800,000 for Q2 2026, up 14.3% from $700,000 a year earlier but down 99.7% from the prior quarter.
Installed Building Products (IBP) Long-Term Debt Repayments (2013 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Installed Building Products' Long-Term Debt Repayments came in at $310.1 million; for FY2025, it was $31.2 million, up 4.0% from FY2024.
- Long-Term Debt Repayments has a five-year compound annual growth rate of 3.2% (FY2020 to FY2025).
- By year, Long-Term Debt Repayments came in at $30 million in FY2024 (+1.7%), $29.5 million in FY2023 (-2.3%), $30.2 million in FY2022 (+14.8%) and $26.3 million in FY2021 (-1.4%).
- Five-year quarterly Long-Term Debt Repayments spans a low of $532,000 in Q3 2021 and a high of $300 million in Q1 2026.
- Year over year, Long-Term Debt Repayments gained in three of the last seven quarters, with growth averaging 4.1%.
- The high point for year-over-year Long-Term Debt Repayments in five years was Q3 2023 (growth of 38.9%); the low point was Q3 2024 (a decline of 12.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $300 million (Q1 2026), $8.5 million (Q4 2025) and $800,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 92.79 Bn | 90.87 Bn | 1.55 Bn | 17.83 Bn |
| 2 | Ferrovial | 35.38 Bn | 13.63 Bn | - | - |
| 3 | Emcor | 31.89 Bn | 28.28 Bn | 1.02 Bn | 681,000.00 |
| 4 | Jacobs Solutions | 16.27 Bn | 10.94 Bn | 810.70 Mn | 710.00 Mn |
| 5 | Mastec | 14.89 Bn | 13.67 Bn | 556.28 Mn | 1.69 Bn |
| 6 | Sterling Infrastructure | 12.96 Bn | 11.29 Bn | 289.96 Mn | 3.78 Mn |
| 7 | IES Holdings | 9.98 Bn | 8.84 Bn | 340.66 Mn | 138.36 Mn |
| 8 | Stantec | 7.83 Bn | 6.75 Bn | 1.36 Bn | -72.29 Mn |
| 9 | Aecom | 7.47 Bn | 2.59 Bn | -34.04 Mn | 1.43 Bn |
| 10 | Installed Building Products | 4.85 Bn | 3.33 Bn | 258.90 Mn | 800,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 800,000.00 |
| Mar 31, 2026 | 310.70 Mn |
| Dec 31, 2025 | 10.60 Mn |
| Sep 30, 2025 | 800,000.00 |
| Jun 30, 2025 | 700,000.00 |
| Mar 31, 2025 | 9.20 Mn |
| Dec 31, 2024 | 52.40 Mn |
| Sep 30, 2024 | 700,000.00 |
| Jun 30, 2024 | 700,000.00 |
| Mar 31, 2024 | 141.30 Mn |
| Dec 31, 2023 | 9.30 Mn |
| Sep 30, 2023 | 800,000.00 |
| Jun 30, 2023 | 700,000.00 |
| Mar 31, 2023 | 9.00 Mn |
| Dec 31, 2022 | 8.75 Mn |
| Sep 30, 2022 | 576,000.00 |
| Jun 30, 2022 | 564,000.00 |
| Mar 31, 2022 | 8.39 Mn |
| Dec 31, 2021 | 207.14 Mn |
| Sep 30, 2021 | 532,000.00 |
Installed Building Products Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=IBP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=IBP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();