Array Technologies (ARRY) Revenue (2019 - 2026)
Array Technologies (ARRY) recorded Revenue of $342.07 million in Q2 2026, down 5.6% from $362.24 million a year earlier but up 53.1% from the prior quarter.
Array Technologies (ARRY) Revenue (2019 - 2026) Analysis & Trends
On a TTM basis, Array Technologies' Revenue came in at $1.19 billion as of Jun 30, 2026, up 1.2% year-over-year; for FY2025, it came in at $1.28 billion, up 40.2% from FY2024.
- Annual Revenue has a five-year compound annual growth rate of 8.0% (FY2020 to FY2025).
- Across earlier years, Revenue came in at $915.81 million in FY2024 (-41.9%), $1.58 billion in FY2023 (-3.7%), $1.64 billion in FY2022 (+91.9%) and $853.32 million in FY2021 (-2.2%).
- Quarterly Revenue has ranged from $153.4 million in Q1 2024 to $515.02 million in Q3 2022 over the past five years.
- On a year-over-year basis, Revenue has declined for three consecutive quarters, with growth averaging 13.2% over the last eight quarters.
- Peak year-over-year performance for Revenue in the last five years was growth of 173.0% in Q3 2022, against a decline of 59.3% in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $223.41 million (Q1 2026), $226.04 million (Q4 2025) and $393.49 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 252.94 Bn | 214.01 Bn | 2.36 Bn | 11.10 Bn |
| 2 | Bloom Energy | 77.11 Bn | 68.94 Bn | 355.57 Mn | 1.07 Bn |
| 3 | First Solar | 18.59 Bn | 9.54 Bn | 605.00 Mn | 1.06 Bn |
| 4 | BWX Technologies | 12.31 Bn | 10.61 Bn | 202.31 Mn | 901.63 Mn |
| 5 | Generac Holdings | 12.11 Bn | 10.94 Bn | 521.81 Mn | 1.17 Bn |
| 6 | Nextpower | 12.00 Bn | 7.89 Bn | 335.85 Mn | 935.17 Mn |
| 7 | EnerSys | 6.46 Bn | 4.66 Bn | 313.36 Mn | 935.64 Mn |
| 8 | Enphase Energy | 4.08 Bn | -774.96 Mn | 175.01 Mn | 291.85 Mn |
| 9 | Mirion Technologies | 3.51 Bn | 1.40 Bn | 133.10 Mn | 266.80 Mn |
| 10 | Array Technologies | 589.85 Mn | -384.06 Mn | 99.60 Mn | 342.07 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 342.07 Mn |
| Mar 31, 2026 | 223.41 Mn |
| Dec 31, 2025 | 226.04 Mn |
| Sep 30, 2025 | 393.49 Mn |
| Jun 30, 2025 | 362.24 Mn |
| Mar 31, 2025 | 302.36 Mn |
| Dec 31, 2024 | 275.23 Mn |
| Sep 30, 2024 | 231.41 Mn |
| Jun 30, 2024 | 255.77 Mn |
| Mar 31, 2024 | 153.40 Mn |
| Dec 31, 2023 | 341.62 Mn |
| Sep 30, 2023 | 350.44 Mn |
| Jun 30, 2023 | 507.73 Mn |
| Mar 31, 2023 | 376.77 Mn |
| Dec 31, 2022 | 402.07 Mn |
| Sep 30, 2022 | 515.02 Mn |
| Jun 30, 2022 | 419.87 Mn |
| Mar 31, 2022 | 300.59 Mn |
| Dec 31, 2021 | 219.88 Mn |
| Sep 30, 2021 | 188.69 Mn |
Array Technologies Revenue 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=revenue&ticker=ARRY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=ARRY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();