Solaris Energy Infrastructure (SEI) Revenue (2016 - 2026)
Solaris Energy Infrastructure's Revenue was $219.4 million in Q2 2026, up 46.9% from $149.33 million a year earlier and up 11.8% from the prior quarter.
Solaris Energy Infrastructure (SEI) Revenue (2016 - 2026) Analysis & Trends
On a trailing twelve-month basis, Solaris Energy Infrastructure's Revenue was $762.18 million through Jun 30, 2026, up 70.5% year-over-year; for FY2025, it came in at $622.21 million, up 98.7% from FY2024.
- Revenue shows a five-year compound annual growth rate of 43.3% (FY2020 to FY2025).
- In earlier years, Revenue was $313.1 million in FY2024 (+6.9%), $292.95 million in FY2023 (-8.5%), $320.01 million in FY2022 (+101.0%) and $159.19 million in FY2021 (+54.6%).
- The Q2 2026 figure marks the highest quarterly Revenue in data going back to Q1 2016.
- Compared with a year earlier, Revenue has increased for eight straight quarters, with growth averaging 69.9% over the last eight quarters.
- The best year-over-year quarter for Revenue over five years was Q2 2022 (growth of 146.3%); the worst was Q4 2023 (a decline of 24.6%).
- Per Business Quant data, SEI's Revenue in the three quarters before Q2 2026 was $196.24 million (Q1 2026), $179.7 million (Q4 2025) and $166.84 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 380.10 Bn | 351.79 Bn | 7.76 Bn | 20.54 Bn |
| 2 | Amphenol | 208.03 Bn | 202.73 Bn | 3.55 Bn | 8.76 Bn |
| 3 | Deere | 183.47 Bn | 192.23 Bn | 4.66 Bn | 12.61 Bn |
| 4 | Eaton | 168.26 Bn | 165.49 Bn | 2.86 Bn | 8.53 Bn |
| 5 | Parker-Hannifin | 122.34 Bn | 120.47 Bn | 2.25 Bn | 5.76 Bn |
| 6 | Vertiv Holdings | 95.63 Bn | 86.25 Bn | 1.23 Bn | 3.27 Bn |
| 7 | Emerson Electric | 87.72 Bn | 80.47 Bn | 2.66 Bn | 4.87 Bn |
| 8 | 3M | 86.87 Bn | 68.33 Bn | 2.68 Bn | 6.50 Bn |
| 9 | Illinois Tool Works | 76.08 Bn | 72.64 Bn | 1.90 Bn | 4.30 Bn |
| 10 | Solaris Energy Infrastructure | 5.23 Bn | 5.49 Bn | 167.74 Mn | 219.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 219.40 Mn |
| Mar 31, 2026 | 196.24 Mn |
| Dec 31, 2025 | 179.70 Mn |
| Sep 30, 2025 | 166.84 Mn |
| Jun 30, 2025 | 149.33 Mn |
| Mar 31, 2025 | 126.33 Mn |
| Dec 31, 2024 | 96.30 Mn |
| Sep 30, 2024 | 75.02 Mn |
| Jun 30, 2024 | 73.90 Mn |
| Mar 31, 2024 | 67.90 Mn |
| Dec 31, 2023 | 63.35 Mn |
| Sep 30, 2023 | 69.70 Mn |
| Jun 30, 2023 | 77.20 Mn |
| Mar 31, 2023 | 82.72 Mn |
| Dec 31, 2022 | 84.01 Mn |
| Sep 30, 2022 | 92.33 Mn |
| Jun 30, 2022 | 86.71 Mn |
| Mar 31, 2022 | 56.92 Mn |
| Dec 31, 2021 | 45.95 Mn |
| Sep 30, 2021 | 49.40 Mn |
Solaris Energy Infrastructure Revenue 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=revenue&ticker=SEI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "ticker": "SEI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=revenue&ticker=SEI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();