Shoals Technologies (SHLS) Total Liabilities (2019 - 2026)
Shoals Technologies' Total Liabilities was $340.57 million in Q3 2026, up 29.9% from $262.15 million a year earlier but down 14.8% from the prior quarter.
Shoals Technologies (SHLS) Total Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Shoals Technologies came in at $304.13 million, up 28.7% from FY2024.
- Total Liabilities shows a five-year compound annual growth rate of -4.3% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $236.28 million in FY2024 (-21.0%), $299 million in FY2023 (+1.7%), $293.91 million in FY2022 (-32.3%) and $433.91 million in FY2021 (+14.4%).
- Quarterly Total Liabilities has moved between $219.56 million (Q2 2025) and $507.22 million (Q3 2022) over five years.
- Compared with a year earlier, Total Liabilities has increased for five straight quarters, with growth averaging 23.0% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was Q1 2026 (growth of 87.0%); the worst was Q2 2023 (a decline of 40.7%).
- Per Business Quant data, SHLS's Total Liabilities in the three quarters before Q3 2026 was $399.68 million (Q2 2026), $429.25 million (Q1 2026) and $304.13 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 212.47 Bn | 164.72 Bn | 3.11 Bn | 73.68 Bn |
| 2 | Bloom Energy | 56.73 Bn | 46.66 Bn | 417.10 Mn | 4.61 Bn |
| 3 | First Solar | 18.42 Bn | 9.79 Bn | 713.06 Mn | 3.14 Bn |
| 4 | Nextpower | 14.32 Bn | 10.03 Bn | 345.32 Mn | 1.99 Bn |
| 5 | BWX Technologies | 11.27 Bn | 9.04 Bn | 227.14 Mn | 3.34 Bn |
| 6 | Generac Holdings | 11.25 Bn | 9.99 Bn | 516.04 Mn | 3.13 Bn |
| 7 | Innio | 10.93 Bn | 7.17 Bn | 367.70 Mn | 5.80 Bn |
| 8 | EnerSys | 5.13 Bn | 3.44 Bn | 284.35 Mn | 1.79 Bn |
| 9 | Mirion Technologies | 4.30 Bn | 2.71 Bn | 131.50 Mn | 1.67 Bn |
| 10 | Shoals Technologies | 1.40 Bn | 1.36 Bn | 62.40 Mn | 340.57 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 340.57 Mn |
| Jun 30, 2026 | 399.68 Mn |
| Mar 31, 2026 | 429.25 Mn |
| Dec 31, 2025 | 304.13 Mn |
| Sep 30, 2025 | 262.15 Mn |
| Jun 30, 2025 | 219.56 Mn |
| Mar 31, 2025 | 229.49 Mn |
| Dec 31, 2024 | 236.28 Mn |
| Sep 30, 2024 | 256.11 Mn |
| Jun 30, 2024 | 243.85 Mn |
| Mar 31, 2024 | 271.33 Mn |
| Dec 31, 2023 | 299.00 Mn |
| Sep 30, 2023 | 315.51 Mn |
| Jun 30, 2023 | 289.42 Mn |
| Mar 31, 2023 | 302.52 Mn |
| Dec 31, 2022 | 293.91 Mn |
| Sep 30, 2022 | 507.22 Mn |
| Jun 30, 2022 | 488.18 Mn |
| Mar 31, 2022 | 475.92 Mn |
| Dec 31, 2021 | 433.91 Mn |
Shoals Technologies Total 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-liabilities&ticker=SHLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=SHLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();