Array Technologies (ARRY) Operating Expenses (2019 - 2026)
Array Technologies (ARRY) posted Operating Expenses of $64.84 million for Q2 2026, up 27.8% from $50.75 million a year earlier and up 16.0% from the prior quarter.
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Analysis
Array Technologies (ARRY) Operating Expenses (2019 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Array Technologies was $348.39 million, down 34.5% year-over-year; for FY2025, it came in at $327.55 million, down 37.6% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 24.9% (FY2020 to FY2025).
- In prior years, Array Technologies' Operating Expenses was $524.68 million in FY2024 (+160.5%), $201.43 million in FY2023 (-12.7%), $230.85 million in FY2022 (+148.1%) and $93.04 million in FY2021 (-13.5%).
- Quarterly Operating Expenses has run from a low of $15.74 million in Q4 2021 to a high of $220.67 million in Q4 2024 over five years.
- On a year-over-year basis, Operating Expenses increased in six of the last eight quarters, with growth averaging 77.1%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q3 2024, with growth of 347.3%; the weakest was Q3 2025, with a decline of 71.5%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $55.9 million (Q1 2026), $167.44 million (Q4 2025) and $60.22 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 252.99 Bn | 214.06 Bn | 2.36 Bn | 1.71 Bn |
| 2 | Bloom Energy | 81.25 Bn | 73.07 Bn | 355.57 Mn | 173.34 Mn |
| 3 | First Solar | 18.82 Bn | 9.78 Bn | 605.00 Mn | 154.62 Mn |
| 4 | BWX Technologies | 12.55 Bn | 10.85 Bn | 202.31 Mn | 811.92 Mn |
| 5 | Generac Holdings | 12.21 Bn | 11.04 Bn | 521.81 Mn | 311.38 Mn |
| 6 | Nextpower | 11.82 Bn | 7.71 Bn | 335.85 Mn | 144.95 Mn |
| 7 | EnerSys | 6.67 Bn | 4.86 Bn | 313.36 Mn | 151.24 Mn |
| 8 | Enphase Energy | 4.36 Bn | -500.13 Mn | 175.01 Mn | 123.50 Mn |
| 9 | Mirion Technologies | 3.45 Bn | 1.34 Bn | 133.10 Mn | 115.20 Mn |
| 10 | Array Technologies | 620.65 Mn | -353.26 Mn | 99.60 Mn | 64.84 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 64.84 Mn |
| Mar 31, 2026 | 55.90 Mn |
| Dec 31, 2025 | 167.44 Mn |
| Sep 30, 2025 | 60.22 Mn |
| Jun 30, 2025 | 50.75 Mn |
| Mar 31, 2025 | 49.14 Mn |
| Dec 31, 2024 | 220.67 Mn |
| Sep 30, 2024 | 210.99 Mn |
| Jun 30, 2024 | 46.35 Mn |
| Mar 31, 2024 | 46.68 Mn |
| Dec 31, 2023 | 54.01 Mn |
| Sep 30, 2023 | 47.17 Mn |
| Jun 30, 2023 | 50.16 Mn |
| Mar 31, 2023 | 50.08 Mn |
| Dec 31, 2022 | 60.53 Mn |
| Sep 30, 2022 | 59.39 Mn |
| Jun 30, 2022 | 53.28 Mn |
| Mar 31, 2022 | 64.93 Mn |
| Dec 31, 2021 | 15.74 Mn |
| Sep 30, 2021 | 25.41 Mn |
API Access
Array Technologies Operating 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=operating-expenses&ticker=ARRY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ARRY", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=ARRY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();