Shoals Technologies (SHLS) Change in Accrued Expenses (2020 - 2026)
Shoals Technologies' Change in Accrued Expenses came in at $7.5 million for Q3 2026, down 2.8% from $7.72 million a year earlier and down 0.2% from the prior quarter.
Shoals Technologies (SHLS) Change in Accrued Expenses (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Shoals Technologies reported Change in Accrued Expenses of $10.66 million, down 4.2% year-over-year; for FY2025, it came in at $4.79 million.
- Change in Accrued Expenses carries a five-year compound annual growth rate of -0.7% (FY2020 to FY2025).
- Going back by year, Change in Accrued Expenses was -$11.25 million in FY2024, $4.47 million in FY2023 (-55.8%), $10.11 million in FY2022 and -$6.24 million in FY2021.
- The five-year range for quarterly Change in Accrued Expenses is -$13.4 million (Q1 2024) to $7.72 million (Q3 2025).
- The fastest year-over-year change in Change in Accrued Expenses over five years came in Q3 2025 (growth of 160.3%), and the weakest in Q2 2023 (a decline of 68.0%).
- Business Quant data shows SHLS's Change in Accrued Expenses at $7.52 million (Q2 2026), $2.51 million (Q1 2026) and -$6.87 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 212.47 Bn | 164.72 Bn | 3.11 Bn | 573.00 Mn |
| 2 | Bloom Energy | 56.73 Bn | 46.66 Bn | 417.10 Mn | - |
| 3 | First Solar | 18.42 Bn | 9.79 Bn | 713.06 Mn | 18.86 Mn |
| 4 | Nextpower | 14.32 Bn | 10.03 Bn | 345.32 Mn | - |
| 5 | BWX Technologies | 11.27 Bn | 9.04 Bn | 227.14 Mn | 16.05 Mn |
| 6 | Generac Holdings | 11.25 Bn | 9.99 Bn | 516.04 Mn | 133.84 Mn |
| 7 | Innio | 10.93 Bn | 7.17 Bn | 367.70 Mn | 37.00 Mn |
| 8 | EnerSys | 5.13 Bn | 3.44 Bn | 284.35 Mn | 10.46 Mn |
| 9 | Mirion Technologies | 4.30 Bn | 2.71 Bn | 131.50 Mn | 9.50 Mn |
| 10 | Shoals Technologies | 1.40 Bn | 1.36 Bn | 62.40 Mn | 7.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 7.50 Mn |
| Jun 30, 2026 | 7.52 Mn |
| Mar 31, 2026 | 2.51 Mn |
| Dec 31, 2025 | -6.87 Mn |
| Sep 30, 2025 | 7.72 Mn |
| Jun 30, 2025 | 4.28 Mn |
| Mar 31, 2025 | -347,000.00 |
| Dec 31, 2024 | -540,000.00 |
| Sep 30, 2024 | 2.97 Mn |
| Jun 30, 2024 | -272,000.00 |
| Mar 31, 2024 | -13.40 Mn |
| Dec 31, 2023 | 1.14 Mn |
| Sep 30, 2023 | 3.24 Mn |
| Jun 30, 2023 | 1.15 Mn |
| Mar 31, 2023 | -1.06 Mn |
| Dec 31, 2022 | 2.43 Mn |
| Sep 30, 2022 | 2.97 Mn |
| Jun 30, 2022 | 3.59 Mn |
| Mar 31, 2022 | 1.12 Mn |
| Dec 31, 2021 | -8.85 Mn |
Shoals Technologies Change in Accrued Expenses 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=change-in-accured-expenses&ticker=SHLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=SHLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();