Granite Construction (GVA) Long-Term Debt Repayments (2009 - 2026)
Granite Construction's Long-Term Debt Repayments was $176.5 million in Q2 2026, compared with $278,000 a year earlier and down 38.9% from the prior quarter.
Granite Construction (GVA) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Granite Construction's Long-Term Debt Repayments was $550.85 million through Jun 30, 2026; for FY2025, it was $86.11 million, down 72.3% from FY2024.
- Long-Term Debt Repayments shows a five-year compound annual growth rate of 0.6% (FY2020 to FY2025).
- In earlier years, Long-Term Debt Repayments was $310.5 million in FY2024 (+1.8%), $305.12 million in FY2023 (+143.8%), $125.16 million in FY2022 and $8.92 million in FY2021 (-89.3%).
- Quarterly Long-Term Debt Repayments has moved between $251,000 (Q3 2022) and $288.8 million (Q1 2026) over five years.
- Compared with a year earlier, Long-Term Debt Repayments was higher in 1 of the last four quarters, with an average decline of 74.2%.
- The best year-over-year quarter for Long-Term Debt Repayments over five years was Q2 2023 (growth of 304.8%); the worst was Q2 2025 (a decline of 99.9%).
- Per Business Quant data, GVA's Long-Term Debt Repayments in the three quarters before Q2 2026 was $288.8 million (Q1 2026), $75.28 million (Q4 2025) and $10.28 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 92.93 Bn | 92.93 Bn | 2.01 Bn | - |
| 2 | Ferrovial | 39.80 Bn | 18.04 Bn | - | - |
| 3 | Emcor | 30.06 Bn | 30.06 Bn | 1.11 Bn | 689,000.00 |
| 4 | Jacobs Solutions | 18.15 Bn | 12.82 Bn | 810.70 Mn | 710.00 Mn |
| 5 | Mastec | 14.58 Bn | 13.12 Bn | 660.86 Mn | 2.77 Bn |
| 6 | Sterling Infrastructure | 10.57 Bn | 10.57 Bn | 377.28 Mn | 57.42 Mn |
| 7 | Stantec | 8.24 Bn | 7.17 Bn | 1.36 Bn | -72.29 Mn |
| 8 | IES Holdings | 8.15 Bn | 7.00 Bn | 340.66 Mn | 138.36 Mn |
| 9 | Aecom | 8.12 Bn | 3.24 Bn | -34.04 Mn | 1.43 Bn |
| 10 | Granite Construction | 5.43 Bn | 3.09 Bn | 335.76 Mn | 712.61 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 712.61 Mn |
| Jun 30, 2026 | 176.50 Mn |
| Mar 31, 2026 | 288.80 Mn |
| Dec 31, 2025 | 75.28 Mn |
| Sep 30, 2025 | 10.28 Mn |
| Jun 30, 2025 | 278,000.00 |
| Mar 31, 2025 | 274,000.00 |
| Dec 31, 2024 | 272,000.00 |
| Sep 30, 2024 | 418,000.00 |
| Jun 30, 2024 | 207.67 Mn |
| Mar 31, 2024 | 102.14 Mn |
| Dec 31, 2023 | 267,000.00 |
| Sep 30, 2023 | 55.26 Mn |
| Jun 30, 2023 | 249.33 Mn |
| Mar 31, 2023 | 256,000.00 |
| Dec 31, 2022 | 253,000.00 |
| Sep 30, 2022 | 251,000.00 |
| Jun 30, 2022 | 61.60 Mn |
| Mar 31, 2022 | 63.06 Mn |
| Dec 31, 2021 | 2.13 Mn |
Granite Construction 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=GVA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "GVA", "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=GVA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();