Sunrun (RUN) Total Non-Current Liabilities (2014 - 2026)
Sunrun's Total Non-Current Liabilities was $18.78 billion in Q2 2026, up 8.4% from $17.33 billion a year earlier and up 2.1% from the prior quarter.
Sunrun (RUN) Total Non-Current Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Sunrun came in at $18.18 billion, up 12.0% from FY2024.
- Total Non-Current Liabilities has now increased for 11 consecutive years, with a five-year compound annual growth rate of 19.7% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $16.24 billion in FY2024 (+15.8%), $14.02 billion in FY2023 (+21.3%), $11.56 billion in FY2022 (+24.1%) and $9.32 billion in FY2021 (+26.1%).
- The Q2 2026 figure marks the highest quarterly Total Non-Current Liabilities in data going back to Q4 2014.
- Compared with a year earlier, Total Non-Current Liabilities has increased for 36 straight quarters, with growth averaging 13.6% over the last eight quarters.
- Across the past five years, year-over-year growth in Total Non-Current Liabilities ran from 8.4% in Q2 2026 to 91.2% in Q3 2021.
- Per Business Quant data, RUN's Total Non-Current Liabilities in the three quarters before Q2 2026 was $18.39 billion (Q1 2026), $18.18 billion (Q4 2025) and $18.14 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 89.81 Bn | 87.89 Bn | 1.55 Bn | 17.11 Bn |
| 2 | Ferrovial | 35.40 Bn | 13.65 Bn | - | 15.61 Bn |
| 3 | Emcor | 31.21 Bn | 27.60 Bn | 1.02 Bn | 5.66 Bn |
| 4 | Jacobs Solutions | 16.43 Bn | 11.10 Bn | 810.70 Mn | 4.54 Bn |
| 5 | Mastec | 14.65 Bn | 13.43 Bn | 556.28 Mn | 6.93 Bn |
| 6 | Sterling Infrastructure | 12.67 Bn | 10.99 Bn | 289.96 Mn | 1.73 Bn |
| 7 | IES Holdings | 9.64 Bn | 8.50 Bn | 340.66 Mn | 1.02 Bn |
| 8 | Stantec | 7.86 Bn | 6.79 Bn | 1.36 Bn | 3.35 Bn |
| 9 | Aecom | 7.59 Bn | 2.71 Bn | -34.04 Mn | 9.33 Bn |
| 10 | Sunrun | 1.80 Bn | 1.80 Bn | 328.22 Mn | 18.78 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.78 Bn |
| Mar 31, 2026 | 18.39 Bn |
| Dec 31, 2025 | 18.18 Bn |
| Sep 30, 2025 | 18.14 Bn |
| Jun 30, 2025 | 17.33 Bn |
| Mar 31, 2025 | 16.82 Bn |
| Dec 31, 2024 | 16.24 Bn |
| Sep 30, 2024 | 15.49 Bn |
| Jun 30, 2024 | 14.88 Bn |
| Mar 31, 2024 | 14.59 Bn |
| Dec 31, 2023 | 14.02 Bn |
| Sep 30, 2023 | 13.50 Bn |
| Jun 30, 2023 | 12.76 Bn |
| Mar 31, 2023 | 12.00 Bn |
| Dec 31, 2022 | 11.56 Bn |
| Sep 30, 2022 | 10.98 Bn |
| Jun 30, 2022 | 10.48 Bn |
| Mar 31, 2022 | 10.05 Bn |
| Dec 31, 2021 | 9.32 Bn |
| Sep 30, 2021 | 8.96 Bn |
Sunrun Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=RUN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "RUN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=total-non-current-liabilities&ticker=RUN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();