Array Technologies (ARRY) EBITDA (2019 - 2026)
Array Technologies (ARRY) recorded EBITDA of $48.45 million in Q2 2026, down 12.9% from $55.66 million a year earlier but up 115.6% from the prior quarter.
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Analysis
Array Technologies (ARRY) EBITDA (2019 - 2026) Analysis & Trends
On a TTM basis, Array Technologies' EBITDA came in at -$4.68 million as of Jun 30, 2026; for FY2025, it was $18.29 million.
- Annual EBITDA has a five-year compound annual growth rate of -31.7% (FY2020 to FY2025).
- Across earlier years, EBITDA came in at -$174.23 million in FY2024, $268.95 million in FY2023 (+224.3%), $82.93 million in FY2022 and $1.21 million in FY2021 (-99.0%).
- Quarterly EBITDA has ranged from -$132.45 million in Q4 2025 to $109.09 million in Q2 2023 over the past five years.
- On a year-over-year basis, EBITDA rose in two of the last four quarters, with growth averaging 5.3%.
- Peak year-over-year performance for EBITDA in the last five years was growth of 748.6% in Q2 2023, against a decline of 64.2% in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $22.47 million (Q1 2026), -$132.45 million (Q4 2025) and $56.84 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 234.76 Bn | 194.67 Bn | 2.36 Bn | 1.07 Bn |
| 2 | Bloom Energy | 65.22 Bn | 55.12 Bn | 417.10 Mn | 242.43 Mn |
| 3 | First Solar | 18.86 Bn | 9.82 Bn | 605.00 Mn | 598.23 Mn |
| 4 | BWX Technologies | 12.17 Bn | 10.47 Bn | 202.31 Mn | 145.50 Mn |
| 5 | Nextpower | 11.88 Bn | 7.77 Bn | 335.85 Mn | 199.67 Mn |
| 6 | Generac Holdings | 11.30 Bn | 10.13 Bn | 521.81 Mn | 300.20 Mn |
| 7 | EnerSys | 6.28 Bn | 4.48 Bn | 313.36 Mn | 182.39 Mn |
| 8 | Enphase Energy | 4.05 Bn | -807.20 Mn | 175.01 Mn | 72.04 Mn |
| 9 | Mirion Technologies | 3.73 Bn | 1.57 Bn | 133.10 Mn | 58.00 Mn |
| 10 | Array Technologies | 500.83 Mn | -473.07 Mn | 99.60 Mn | 49.35 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 49.35 Mn |
| Mar 31, 2026 | 23.35 Mn |
| Dec 31, 2025 | -131.65 Mn |
| Sep 30, 2025 | 57.79 Mn |
| Jun 30, 2025 | 57.61 Mn |
| Mar 31, 2025 | 38.36 Mn |
| Dec 31, 2024 | -128.05 Mn |
| Sep 30, 2024 | -118.61 Mn |
| Jun 30, 2024 | 53.67 Mn |
| Mar 31, 2024 | 23.73 Mn |
| Dec 31, 2023 | 45.29 Mn |
| Sep 30, 2023 | 57.52 Mn |
| Jun 30, 2023 | 111.26 Mn |
| Mar 31, 2023 | 64.82 Mn |
| Dec 31, 2022 | 44.35 Mn |
| Sep 30, 2022 | 43.81 Mn |
| Jun 30, 2022 | 14.43 Mn |
| Mar 31, 2022 | -13.03 Mn |
| Dec 31, 2021 | -26.70 Mn |
| Sep 30, 2021 | -4.49 Mn |
API Access
Array Technologies EBITDA 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=ebitda&ticker=ARRY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=ARRY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();