Granite Construction (GVA) Net Long-Term Debt Issued (Repaid) (2009 - 2026)
Granite Construction's Non-Current Debt came in at $1.18 billion for Q2 2026, up 60.7% from $733.04 million a year earlier and up 36.7% from the prior quarter.
Granite Construction (GVA) Net Long-Term Debt Issued (Repaid) (2009 - 2026) Analysis & Trends
At the end of FY2025, Granite Construction's Non-Current Debt was $963.23 million, up 30.5% from FY2024.
- Non-Current Debt has increased in each of the last three years, with a three-year compound annual growth rate of 49.7% (FY2022 to FY2025).
- Going back by year, Non-Current Debt was $737.94 million in FY2024 (+20.0%), $614.78 million in FY2023 (+114.3%) and $286.93 million in FY2022.
- The Q2 2026 figure represents the highest quarterly Non-Current Debt in data going back to Q2 2009.
- Year-over-year, Non-Current Debt has increased for four consecutive quarters, with growth averaging 35.6% over the last eight quarters.
- The fastest year-over-year change in Non-Current Debt over five years came in Q4 2023 (growth of 114.3%), and the weakest in Q2 2025 (a decline of 0.6%).
- Business Quant data shows GVA's Non-Current Debt at $861.19 million (Q1 2026), $963.23 million (Q4 2025) and $966.35 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 94.95 Bn | 93.03 Bn | 1.55 Bn | 178.48 Mn |
| 2 | Ferrovial | 40.99 Bn | 19.24 Bn | - | - |
| 3 | Emcor | 30.56 Bn | 26.95 Bn | 1.02 Bn | -681,000.00 |
| 4 | Jacobs Solutions | 17.99 Bn | 12.66 Bn | 810.70 Mn | -505.00 Mn |
| 5 | Mastec | 14.02 Bn | 12.80 Bn | 556.28 Mn | 137.08 Mn |
| 6 | Sterling Infrastructure | 11.45 Bn | 11.45 Bn | 377.28 Mn | - |
| 7 | IES Holdings | 8.87 Bn | 7.73 Bn | 340.66 Mn | -38.36 Mn |
| 8 | Stantec | 8.26 Bn | 7.18 Bn | 1.36 Bn | 72.29 Mn |
| 9 | Aecom | 8.15 Bn | 3.27 Bn | -34.04 Mn | -10.29 Mn |
| 10 | Granite Construction | 5.35 Bn | 2.98 Bn | 238.77 Mn | -176.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -176.50 Mn |
| Mar 31, 2026 | -288.80 Mn |
| Dec 31, 2025 | -282,000.00 |
| Sep 30, 2025 | 599.72 Mn |
| Jun 30, 2025 | -278,000.00 |
| Mar 31, 2025 | -274,000.00 |
| Dec 31, 2024 | 373.48 Mn |
| Sep 30, 2024 | -374.17 Mn |
| Jun 30, 2024 | -207.67 Mn |
| Mar 31, 2024 | -102.14 Mn |
| Dec 31, 2023 | 304.73 Mn |
| Sep 30, 2023 | -55.26 Mn |
| Jun 30, 2023 | -249.33 Mn |
| Mar 31, 2023 | -256,000.00 |
| Dec 31, 2022 | 49.75 Mn |
| Sep 30, 2022 | -251,000.00 |
| Jun 30, 2022 | -61.60 Mn |
| Mar 31, 2022 | -63.06 Mn |
| Dec 31, 2021 | -2.13 Mn |
| Sep 30, 2021 | -2.12 Mn |
Granite Construction Net Long-Term Debt Issued (Repaid) 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=non-current-debt&ticker=GVA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=GVA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();