Shoals Technologies (SHLS) EBITDA (2020 - 2026)
Shoals Technologies (SHLS) posted EBITDA of $34.42 million for Q3 2026, up 55.1% from $22.19 million a year earlier and up 46.4% from the prior quarter.
Shoals Technologies (SHLS) EBITDA (2020 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, EBITDA at Shoals Technologies was $91.3 million, up 31.6% year-over-year; for FY2025, it was $70.82 million, up 5.9% from FY2024.
- Annual EBITDA shows a five-year compound annual growth rate of 8.5% (FY2020 to FY2025).
- In prior years, Shoals Technologies' EBITDA was $66.89 million in FY2024 (-27.1%), $91.73 million in FY2023 (+17.3%), $78.2 million in FY2022 (+49.7%) and $52.25 million in FY2021 (+11.1%).
- The Q3 2026 figure stands as the highest quarterly EBITDA since Q4 2023.
- On a year-over-year basis, EBITDA has increased in each of the last five quarters, with growth averaging 26.3% over the last eight quarters.
- The strongest year-over-year quarter for EBITDA in the past five years was Q4 2022, with growth of 362.9%; the weakest was Q1 2025, with a decline of 54.9%.
- According to Business Quant data, EBITDA for the three prior quarters was $23.51 million (Q2 2026), $11.98 million (Q1 2026) and $21.39 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 212.47 Bn | 164.72 Bn | 3.11 Bn | 1.83 Bn |
| 2 | Bloom Energy | 56.73 Bn | 46.66 Bn | 417.10 Mn | 242.43 Mn |
| 3 | First Solar | 18.42 Bn | 9.79 Bn | 713.06 Mn | 694.14 Mn |
| 4 | Nextpower | 14.32 Bn | 10.03 Bn | 345.32 Mn | 222.47 Mn |
| 5 | BWX Technologies | 11.27 Bn | 9.04 Bn | 227.14 Mn | 165.59 Mn |
| 6 | Generac Holdings | 11.25 Bn | 9.99 Bn | 516.04 Mn | 247.04 Mn |
| 7 | Innio | 10.93 Bn | 7.17 Bn | 367.70 Mn | 232.70 Mn |
| 8 | EnerSys | 5.13 Bn | 3.44 Bn | 284.35 Mn | 144.81 Mn |
| 9 | Mirion Technologies | 4.30 Bn | 2.71 Bn | 131.50 Mn | 56.80 Mn |
| 10 | Shoals Technologies | 1.40 Bn | 1.36 Bn | 62.40 Mn | 34.42 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 34.42 Mn |
| Jun 30, 2026 | 23.51 Mn |
| Mar 31, 2026 | 11.98 Mn |
| Dec 31, 2025 | 21.39 Mn |
| Sep 30, 2025 | 22.19 Mn |
| Jun 30, 2025 | 19.49 Mn |
| Mar 31, 2025 | 7.76 Mn |
| Dec 31, 2024 | 19.93 Mn |
| Sep 30, 2024 | 7.83 Mn |
| Jun 30, 2024 | 21.92 Mn |
| Mar 31, 2024 | 17.21 Mn |
| Dec 31, 2023 | 35.79 Mn |
| Sep 30, 2023 | -7.58 Mn |
| Jun 30, 2023 | 34.56 Mn |
| Mar 31, 2023 | 28.96 Mn |
| Dec 31, 2022 | 26.22 Mn |
| Sep 30, 2022 | 22.90 Mn |
| Jun 30, 2022 | 16.10 Mn |
| Mar 31, 2022 | 12.98 Mn |
| Dec 31, 2021 | 5.67 Mn |
Shoals Technologies EBITDA 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=ebitda&ticker=SHLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "SHLS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=ebitda&ticker=SHLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();