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.
Powered by 
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 | 256.40 Bn | 217.48 Bn | 2.36 Bn | 1.07 Bn |
| 2 | Bloom Energy | 85.45 Bn | 77.27 Bn | 355.57 Mn | 195.98 Mn |
| 3 | First Solar | 19.01 Bn | 9.97 Bn | 605.00 Mn | 598.23 Mn |
| 4 | BWX Technologies | 12.64 Bn | 10.94 Bn | 202.31 Mn | 145.50 Mn |
| 5 | Generac Holdings | 12.53 Bn | 11.36 Bn | 521.81 Mn | 299.66 Mn |
| 6 | Nextpower | 12.03 Bn | 7.92 Bn | 335.85 Mn | 199.67 Mn |
| 7 | EnerSys | 6.62 Bn | 4.81 Bn | 313.36 Mn | 181.91 Mn |
| 8 | Enphase Energy | 4.21 Bn | -653.40 Mn | 175.01 Mn | 71.72 Mn |
| 9 | Mirion Technologies | 3.51 Bn | 1.39 Bn | 133.10 Mn | 56.70 Mn |
| 10 | Array Technologies | 614.49 Mn | -359.42 Mn | 99.60 Mn | 48.45 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 48.45 Mn |
| Mar 31, 2026 | 22.47 Mn |
| Dec 31, 2025 | -132.45 Mn |
| Sep 30, 2025 | 56.84 Mn |
| Jun 30, 2025 | 55.66 Mn |
| Mar 31, 2025 | 36.86 Mn |
| Dec 31, 2024 | -129.50 Mn |
| Sep 30, 2024 | -120.16 Mn |
| Jun 30, 2024 | 52.12 Mn |
| Mar 31, 2024 | 22.18 Mn |
| Dec 31, 2023 | 43.81 Mn |
| Sep 30, 2023 | 53.40 Mn |
| Jun 30, 2023 | 109.09 Mn |
| Mar 31, 2023 | 61.99 Mn |
| Dec 31, 2022 | 42.45 Mn |
| Sep 30, 2022 | 42.09 Mn |
| Jun 30, 2022 | 12.86 Mn |
| Mar 31, 2022 | -14.74 Mn |
| Dec 31, 2021 | -28.08 Mn |
| Sep 30, 2021 | -13.03 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();