Shoals Technologies (SHLS) Inventory (2019 - 2026)
Shoals Technologies (SHLS) recorded Inventory of $148.35 million in Q3 2026, up 145.8% from $60.35 million a year earlier but down 19.7% from the prior quarter.
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Analysis
Shoals Technologies (SHLS) Inventory (2019 - 2026) Analysis & Trends
At the end of FY2025, Shoals Technologies reported Inventory of $89.88 million, up 60.6% from FY2024.
- Annual Inventory has a five-year compound annual growth rate of 42.8% (FY2020 to FY2025).
- Across earlier years, Inventory came in at $55.98 million in FY2024 (+6.0%), $52.8 million in FY2023 (-27.5%), $72.85 million in FY2022 (+89.9%) and $38.37 million in FY2021 (+153.7%).
- Quarterly Inventory has ranged from $38.37 million in Q4 2021 to $184.72 million in Q2 2026 over the past five years.
- On a year-over-year basis, Inventory has increased for four consecutive quarters, with growth averaging 73.3% over the last eight quarters.
- Peak year-over-year performance for Inventory in the last five years was growth of 224.6% in Q2 2026, against a decline of 27.5% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $184.72 million (Q2 2026), $158.99 million (Q1 2026) and $89.88 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 212.47 Bn | 164.72 Bn | 3.11 Bn | 13.05 Bn |
| 2 | Bloom Energy | 56.73 Bn | 46.66 Bn | 417.10 Mn | 927.67 Mn |
| 3 | First Solar | 18.42 Bn | 9.79 Bn | 713.06 Mn | 1.14 Bn |
| 4 | Nextpower | 14.32 Bn | 10.03 Bn | 345.32 Mn | 264.14 Mn |
| 5 | BWX Technologies | 11.27 Bn | 9.04 Bn | 227.14 Mn | 35.97 Mn |
| 6 | Generac Holdings | 11.25 Bn | 9.99 Bn | 516.04 Mn | 1.29 Bn |
| 7 | Innio | 10.93 Bn | 7.17 Bn | 367.70 Mn | 1.08 Bn |
| 8 | EnerSys | 5.13 Bn | 3.44 Bn | 284.35 Mn | 753.45 Mn |
| 9 | Mirion Technologies | 4.30 Bn | 2.71 Bn | 131.50 Mn | 158.70 Mn |
| 10 | Shoals Technologies | 1.40 Bn | 1.36 Bn | 62.40 Mn | 148.35 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 148.35 Mn |
| Jun 30, 2026 | 184.72 Mn |
| Mar 31, 2026 | 158.99 Mn |
| Dec 31, 2025 | 89.88 Mn |
| Sep 30, 2025 | 60.35 Mn |
| Jun 30, 2025 | 56.90 Mn |
| Mar 31, 2025 | 61.17 Mn |
| Dec 31, 2024 | 55.98 Mn |
| Sep 30, 2024 | 65.85 Mn |
| Jun 30, 2024 | 60.01 Mn |
| Mar 31, 2024 | 59.57 Mn |
| Dec 31, 2023 | 52.80 Mn |
| Sep 30, 2023 | 60.96 Mn |
| Jun 30, 2023 | 68.31 Mn |
| Mar 31, 2023 | 73.73 Mn |
| Dec 31, 2022 | 72.85 Mn |
| Sep 30, 2022 | 81.16 Mn |
| Jun 30, 2022 | 64.96 Mn |
| Mar 31, 2022 | 49.48 Mn |
| Dec 31, 2021 | 38.37 Mn |
API Access
Shoals Technologies Inventory 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=inventory&ticker=SHLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=SHLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();