Shoals Technologies (SHLS) EBITDA (2020 - 2026)
Shoals Technologies (SHLS) posted EBITDA of $23.35 million for Q2 2026, up 20.8% from $19.33 million a year earlier and up 97.6% from the prior quarter.
Powered by 
Analysis
Shoals Technologies (SHLS) EBITDA (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at Shoals Technologies was $78.44 million, up 44.2% year-over-year; for FY2025, it was $70.2 million, up 10.0% 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 $63.8 million in FY2024 (-28.8%), $89.56 million in FY2023 (+16.6%), $76.84 million in FY2022 (+66.0%) and $46.29 million in FY2021 (-0.8%).
- The Q2 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 four quarters, with growth averaging 24.1% over the last seven quarters.
- The strongest year-over-year quarter for EBITDA in the past five years was Q4 2022, with growth of 380.4%; the weakest was Q1 2024, with a decline of 49.0%.
- According to Business Quant data, EBITDA for the three prior quarters was $11.82 million (Q1 2026), $21.24 million (Q4 2025) and $22.03 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 252.99 Bn | 214.06 Bn | 2.36 Bn | 1.07 Bn |
| 2 | Bloom Energy | 81.25 Bn | 73.07 Bn | 355.57 Mn | 195.98 Mn |
| 3 | First Solar | 18.82 Bn | 9.78 Bn | 605.00 Mn | 598.23 Mn |
| 4 | BWX Technologies | 12.55 Bn | 10.85 Bn | 202.31 Mn | 145.50 Mn |
| 5 | Generac Holdings | 12.21 Bn | 11.04 Bn | 521.81 Mn | 299.66 Mn |
| 6 | Nextpower | 11.82 Bn | 7.71 Bn | 335.85 Mn | 199.67 Mn |
| 7 | EnerSys | 6.67 Bn | 4.86 Bn | 313.36 Mn | 181.91 Mn |
| 8 | Enphase Energy | 4.36 Bn | -500.13 Mn | 175.01 Mn | 71.72 Mn |
| 9 | Mirion Technologies | 3.45 Bn | 1.34 Bn | 133.10 Mn | 56.70 Mn |
| 10 | Shoals Technologies | 1.36 Bn | 1.33 Bn | 49.53 Mn | 23.35 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23.35 Mn |
| Mar 31, 2026 | 11.82 Mn |
| Dec 31, 2025 | 21.24 Mn |
| Sep 30, 2025 | 22.03 Mn |
| Jun 30, 2025 | 19.33 Mn |
| Mar 31, 2025 | 7.60 Mn |
| Dec 31, 2024 | 19.78 Mn |
| Sep 30, 2024 | 7.68 Mn |
| Jun 30, 2024 | 21.76 Mn |
| Mar 31, 2024 | 14.59 Mn |
| Dec 31, 2023 | 34.66 Mn |
| Sep 30, 2023 | -7.92 Mn |
| Jun 30, 2023 | 34.22 Mn |
| Mar 31, 2023 | 28.61 Mn |
| Dec 31, 2022 | 25.88 Mn |
| Sep 30, 2022 | 22.56 Mn |
| Jun 30, 2022 | 15.69 Mn |
| Mar 31, 2022 | 12.70 Mn |
| Dec 31, 2021 | 5.39 Mn |
| Sep 30, 2021 | 12.10 Mn |
API Access
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_KEYimport 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();