Array Technologies (ARRY) Shares Outstanding (Diluted) (2019 - 2026)
Array Technologies (ARRY) recorded Shares Outstanding (Diluted) of 155.69 million in Q2 2026, up 1.7% from 153.07 million a year earlier and up 1.8% from the prior quarter.
Array Technologies (ARRY) Shares Outstanding (Diluted) (2019 - 2026) Analysis & Trends
For FY2025, Array Technologies reported Shares Outstanding (Diluted) of 152.54 million, up 0.5% from FY2024.
- Annual Shares Outstanding (Diluted) has a five-year compound annual growth rate of 4.7% (FY2020 to FY2025).
- Across earlier years, Shares Outstanding (Diluted) came in at 151.75 million in FY2024 (-0.2%), 152.02 million in FY2023 (+1.5%), 149.82 million in FY2022 (+15.3%) and 129.98 million in FY2021 (+7.0%).
- The Q2 2026 figure is the highest quarterly Shares Outstanding (Diluted) in data going back to Q3 2019.
- On a year-over-year basis, Shares Outstanding (Diluted) has increased for six consecutive quarters, with growth averaging 0.6% over the last eight quarters.
- Peak year-over-year performance for Shares Outstanding (Diluted) in the last five years was growth of 18.3% in Q2 2022, against a decline of 0.3% in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at 152.96 million (Q1 2026), 152.54 million (Q4 2025) and 154.09 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 252.99 Bn | 214.06 Bn | 2.36 Bn | 270.00 Mn |
| 2 | Bloom Energy | 81.25 Bn | 73.07 Bn | 355.57 Mn | 323.33 Mn |
| 3 | First Solar | 18.82 Bn | 9.78 Bn | 605.00 Mn | 107.73 Mn |
| 4 | BWX Technologies | 12.55 Bn | 10.85 Bn | 202.31 Mn | 92.01 Mn |
| 5 | Generac Holdings | 12.21 Bn | 11.04 Bn | 521.81 Mn | 59.64 Mn |
| 6 | Nextpower | 11.82 Bn | 7.71 Bn | 335.85 Mn | 155.14 Mn |
| 7 | EnerSys | 6.67 Bn | 4.86 Bn | 313.36 Mn | 37.63 Mn |
| 8 | Enphase Energy | 4.36 Bn | -500.13 Mn | 175.01 Mn | 135.12 Mn |
| 9 | Mirion Technologies | 3.45 Bn | 1.34 Bn | 133.10 Mn | 275.07 Mn |
| 10 | Array Technologies | 620.65 Mn | -353.26 Mn | 99.60 Mn | 155.69 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 155.69 Mn |
| Mar 31, 2026 | 152.96 Mn |
| Dec 31, 2025 | 152.54 Mn |
| Sep 30, 2025 | 154.09 Mn |
| Jun 30, 2025 | 153.07 Mn |
| Mar 31, 2025 | 152.78 Mn |
| Dec 31, 2024 | 151.75 Mn |
| Sep 30, 2024 | 151.92 Mn |
| Jun 30, 2024 | 152.21 Mn |
| Mar 31, 2024 | 151.35 Mn |
| Dec 31, 2023 | 152.02 Mn |
| Sep 30, 2023 | 152.32 Mn |
| Jun 30, 2023 | 152.13 Mn |
| Mar 31, 2023 | 151.80 Mn |
| Dec 31, 2022 | 149.82 Mn |
| Sep 30, 2022 | 151.38 Mn |
| Jun 30, 2022 | 150.20 Mn |
| Mar 31, 2022 | 148.29 Mn |
| Dec 31, 2021 | 129.98 Mn |
| Sep 30, 2021 | 130.96 Mn |
Array Technologies Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=ARRY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=ARRY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();