Vistra (VST) Fuel and Purchased Power (2016 - 2026)
Vistra's Fuel and Purchased Power came in at $2.53 billion for Q3 2026, up 6.8% from $2.37 billion a year earlier and up 42.6% from the prior quarter.
Vistra (VST) Fuel and Purchased Power (2016 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Vistra reported Fuel and Purchased Power of $9.14 billion, up 6.9% year-over-year; for FY2025, it was $9.1 billion, up 24.9% from FY2024.
- Fuel and Purchased Power carries a five-year compound annual growth rate of 12.0% (FY2020 to FY2025).
- Going back by year, Fuel and Purchased Power was $7.29 billion in FY2024 (-3.6%), $7.56 billion in FY2023 (-27.3%), $10.4 billion in FY2022 (+13.4%) and $9.17 billion in FY2021 (+77.2%).
- The five-year range for quarterly Fuel and Purchased Power is $1.34 billion (Q4 2021) to $3.14 billion (Q3 2022).
- Year-over-year, Fuel and Purchased Power increased in six of the last eight quarters, with growth averaging 12.8%.
- The fastest year-over-year change in Fuel and Purchased Power over five years came in Q4 2022 (growth of 110.2%), and the weakest in Q1 2022 (a decline of 52.0%).
- Business Quant data shows VST's Fuel and Purchased Power at $1.77 billion (Q2 2026), $2.53 billion (Q1 2026) and $2.31 billion (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Fuel and Purchased Power (Qtr) |
|---|---|---|---|---|---|
| 1 | Constellation Energy | 98.63 Bn | 93.22 Bn | - | 4.40 Bn |
| 2 | Vistra | 44.52 Bn | 35.00 Bn | - | 2.53 Bn |
| 3 | AXIA Energia | 24.30 Bn | 11.28 Bn | 2.59 Bn | - |
| 4 | Nrg Energy | 20.38 Bn | 15.19 Bn | 2.23 Bn | - |
| 5 | Talen Energy | 17.79 Bn | 15.53 Bn | - | 626.00 Mn |
| 6 | Enlight Renewable Energy | 8.73 Bn | 5.30 Bn | 124.81 Mn | - |
| 7 | Brookfield Renewable Partners | 7.94 Bn | -20.71 Bn | 23.00 Mn | - |
| 8 | Clearway Energy | 7.36 Bn | 9.95 Bn | - | - |
| 9 | Ormat Technologies | 5.56 Bn | 4.03 Bn | 77.38 Mn | 127.41 Mn |
| 10 | Oklo | 4.67 Bn | -3.73 Bn | 772,000.00 | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.53 Bn |
| Jun 30, 2026 | 1.77 Bn |
| Mar 31, 2026 | 2.53 Bn |
| Dec 31, 2025 | 2.31 Bn |
| Sep 30, 2025 | 2.37 Bn |
| Jun 30, 2025 | 1.97 Bn |
| Mar 31, 2025 | 2.45 Bn |
| Dec 31, 2024 | 1.77 Bn |
| Sep 30, 2024 | 2.21 Bn |
| Jun 30, 2024 | 1.60 Bn |
| Mar 31, 2024 | 1.72 Bn |
| Dec 31, 2023 | 1.80 Bn |
| Sep 30, 2023 | 2.11 Bn |
| Jun 30, 2023 | 1.48 Bn |
| Mar 31, 2023 | 2.17 Bn |
| Dec 31, 2022 | 2.82 Bn |
| Sep 30, 2022 | 3.14 Bn |
| Jun 30, 2022 | 2.16 Bn |
| Mar 31, 2022 | 2.28 Bn |
| Dec 31, 2021 | 1.34 Bn |
Vistra Fuel and Purchased Power 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=fuel-and-purchased-power&ticker=VST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "fuel-and-purchased-power", "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=fuel-and-purchased-power&ticker=VST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();