Array Technologies (ARRY) Cash & Equivalents (2019 - 2026)
Array Technologies' Cash & Equivalents came in at $307.3 million for Q2 2026, down 18.5% from $377.27 million a year earlier but up 53.1% from the prior quarter.
Array Technologies (ARRY) Cash & Equivalents (2019 - 2026) Analysis & Trends
At the end of FY2025, Array Technologies' Cash & Equivalents was $244.39 million, down 32.7% from FY2024.
- Cash & Equivalents carries a five-year compound annual growth rate of 17.6% (FY2020 to FY2025).
- Going back by year, Cash & Equivalents was $362.99 million in FY2024 (+45.7%), $249.08 million in FY2023 (+86.0%), $133.9 million in FY2022 (-63.6%) and $367.67 million in FY2021 (+239.1%).
- The five-year range for quarterly Cash & Equivalents is $49.49 million (Q1 2022) to $377.27 million (Q2 2025).
- Year-over-year, Cash & Equivalents has declined for four consecutive quarters, with growth averaging 8.1% over the last eight quarters.
- The fastest year-over-year change in Cash & Equivalents over five years came in Q4 2021 (growth of 239.1%), and the weakest in Q4 2022 (a decline of 63.6%).
- Business Quant data shows ARRY's Cash & Equivalents at $200.7 million (Q1 2026), $244.39 million (Q4 2025) and $221.52 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 252.99 Bn | 214.06 Bn | 2.36 Bn | 13.12 Bn |
| 2 | Bloom Energy | 81.25 Bn | 73.07 Bn | 355.57 Mn | 2.67 Bn |
| 3 | First Solar | 18.82 Bn | 9.78 Bn | 605.00 Mn | 1.69 Bn |
| 4 | BWX Technologies | 12.55 Bn | 10.85 Bn | 202.31 Mn | 608.20 Mn |
| 5 | Generac Holdings | 12.21 Bn | 11.04 Bn | 521.81 Mn | 264.92 Mn |
| 6 | Nextpower | 11.82 Bn | 7.71 Bn | 335.85 Mn | 1.21 Bn |
| 7 | EnerSys | 6.67 Bn | 4.86 Bn | 313.36 Mn | 530.66 Mn |
| 8 | Enphase Energy | 4.36 Bn | -500.13 Mn | 175.01 Mn | 529.34 Mn |
| 9 | Mirion Technologies | 3.45 Bn | 1.34 Bn | 133.10 Mn | 418.70 Mn |
| 10 | Array Technologies | 620.65 Mn | -353.26 Mn | 99.60 Mn | 307.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 307.30 Mn |
| Mar 31, 2026 | 200.70 Mn |
| Dec 31, 2025 | 244.39 Mn |
| Sep 30, 2025 | 221.52 Mn |
| Jun 30, 2025 | 377.27 Mn |
| Mar 31, 2025 | 348.32 Mn |
| Dec 31, 2024 | 362.99 Mn |
| Sep 30, 2024 | 332.37 Mn |
| Jun 30, 2024 | 282.32 Mn |
| Mar 31, 2024 | 287.62 Mn |
| Dec 31, 2023 | 249.08 Mn |
| Sep 30, 2023 | 174.01 Mn |
| Jun 30, 2023 | 155.97 Mn |
| Mar 31, 2023 | 147.76 Mn |
| Dec 31, 2022 | 133.90 Mn |
| Sep 30, 2022 | 62.78 Mn |
| Jun 30, 2022 | 51.05 Mn |
| Mar 31, 2022 | 49.49 Mn |
| Dec 31, 2021 | 367.67 Mn |
| Sep 30, 2021 | 116.39 Mn |
Array Technologies Cash & Equivalents 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=cash-and-equivalents&ticker=ARRY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=ARRY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();