Vistra (VST) Total Non-Current Liabilities (2016 - 2026)
Vistra's Total Non-Current Liabilities was $32.84 billion in Q2 2026, up 12.4% from $29.21 billion a year earlier and up 4.4% from the prior quarter.
Vistra (VST) Total Non-Current Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Vistra came in at $32.22 billion, up 14.6% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 17.5% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $28.11 billion in FY2024 (+12.0%), $25.11 billion in FY2023 (-1.3%), $25.43 billion in FY2022 (+34.3%) and $18.94 billion in FY2021 (+31.4%).
- The Q2 2026 figure marks the highest quarterly Total Non-Current Liabilities in data going back to Q4 2016.
- Compared with a year earlier, Total Non-Current Liabilities has increased for ten straight quarters, with growth averaging 9.9% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q2 2022 (growth of 60.1%); the worst was Q2 2023 (a decline of 23.5%).
- Per Business Quant data, VST's Total Non-Current Liabilities in the three quarters before Q2 2026 was $31.47 billion (Q1 2026), $32.22 billion (Q4 2025) and $28.65 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Constellation Energy | 106.51 Bn | 97.41 Bn | - | 32.49 Bn |
| 2 | Vistra | 54.68 Bn | 47.87 Bn | - | 32.84 Bn |
| 3 | AXIA Energia | 33.19 Bn | 20.17 Bn | 2.59 Bn | 25.04 Bn |
| 4 | Nrg Energy | 22.64 Bn | 16.86 Bn | 2.01 Bn | 25.11 Bn |
| 5 | Talen Energy | 17.58 Bn | 15.14 Bn | - | 12.90 Bn |
| 6 | Enlight Renewable Energy | 8.71 Bn | 5.26 Bn | 117.49 Mn | 6.63 Bn |
| 7 | Brookfield Renewable Partners | 8.01 Bn | -17.15 Bn | 927.00 Mn | 47.47 Bn |
| 8 | Oklo | 5.62 Bn | -1.21 Bn | - | 59.33 Mn |
| 9 | Ormat Technologies | 5.60 Bn | 4.20 Bn | 68.70 Mn | 3.91 Bn |
| 10 | Transalta | 3.93 Bn | 2.83 Bn | 313.03 Mn | 4.83 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 32.84 Bn |
| Mar 31, 2026 | 31.47 Bn |
| Dec 31, 2025 | 32.22 Bn |
| Sep 30, 2025 | 28.65 Bn |
| Jun 30, 2025 | 29.21 Bn |
| Mar 31, 2025 | 29.32 Bn |
| Dec 31, 2024 | 28.11 Bn |
| Sep 30, 2024 | 28.44 Bn |
| Jun 30, 2024 | 27.87 Bn |
| Mar 31, 2024 | 26.97 Bn |
| Dec 31, 2023 | 25.11 Bn |
| Sep 30, 2023 | 23.95 Bn |
| Jun 30, 2023 | 22.65 Bn |
| Mar 31, 2023 | 23.45 Bn |
| Dec 31, 2022 | 25.43 Bn |
| Sep 30, 2022 | 27.11 Bn |
| Jun 30, 2022 | 29.62 Bn |
| Mar 31, 2022 | 23.08 Bn |
| Dec 31, 2021 | 18.94 Bn |
| Sep 30, 2021 | 21.47 Bn |
Vistra 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=VST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "VST", "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=VST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();