Array Technologies (ARRY) Other Accumulated Expenses (2019 - 2026)
Array Technologies' Other Accumulated Expenses came in at $3.45 million for Q2 2026, down 96.6% from $101.58 million a year earlier but up 79.3% from the prior quarter.
Array Technologies (ARRY) Other Accumulated Expenses (2019 - 2026) Analysis & Trends
At the end of FY2025, Array Technologies' Other Accumulated Expenses was $2.24 million, down 97.5% from FY2024.
- Other Accumulated Expenses carries a five-year compound annual growth rate of -40.2% (FY2020 to FY2025).
- Going back by year, Other Accumulated Expenses was $91.18 million in FY2024 (+29.9%), $70.21 million in FY2023 (+27.9%), $54.9 million in FY2022 (+42.6%) and $38.49 million in FY2021 (+32.0%).
- The five-year range for quarterly Other Accumulated Expenses is $1.93 million (Q1 2026) to $101.58 million (Q2 2025).
- Year-over-year, Other Accumulated Expenses has declined for three consecutive quarters, with an average decline of 5.3% over the last eight quarters.
- The fastest year-over-year change in Other Accumulated Expenses over five years came in Q3 2022 (growth of 191.5%), and the weakest in Q4 2025 (a decline of 97.5%).
- Business Quant data shows ARRY's Other Accumulated Expenses at $1.93 million (Q1 2026), $2.24 million (Q4 2025) and $76.58 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | GE Vernova | 263.36 Bn | 224.44 Bn | 2.36 Bn |
| 2 | Bloom Energy | 84.85 Bn | 76.67 Bn | 355.57 Mn |
| 3 | First Solar | 18.77 Bn | 9.72 Bn | 605.00 Mn |
| 4 | Generac Holdings | 12.79 Bn | 11.62 Bn | 521.81 Mn |
| 5 | Nextpower | 12.78 Bn | 8.68 Bn | 335.85 Mn |
| 6 | BWX Technologies | 12.36 Bn | 10.66 Bn | 202.31 Mn |
| 7 | EnerSys | 7.13 Bn | 5.32 Bn | 313.36 Mn |
| 8 | Enphase Energy | 4.42 Bn | -436.70 Mn | 175.01 Mn |
| 9 | Mirion Technologies | 3.57 Bn | 1.46 Bn | 133.10 Mn |
| 10 | Array Technologies | 628.35 Mn | -345.56 Mn | 99.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.45 Mn |
| Mar 31, 2026 | 1.93 Mn |
| Dec 31, 2025 | 2.24 Mn |
| Sep 30, 2025 | 76.58 Mn |
| Jun 30, 2025 | 101.58 Mn |
| Mar 31, 2025 | 77.58 Mn |
| Dec 31, 2024 | 91.18 Mn |
| Sep 30, 2024 | 48.95 Mn |
| Jun 30, 2024 | 57.27 Mn |
| Mar 31, 2024 | 35.56 Mn |
| Dec 31, 2023 | 70.21 Mn |
| Sep 30, 2023 | 72.64 Mn |
| Jun 30, 2023 | 61.16 Mn |
| Mar 31, 2023 | 58.80 Mn |
| Dec 31, 2022 | 54.90 Mn |
| Sep 30, 2022 | 91.10 Mn |
| Jun 30, 2022 | 51.07 Mn |
| Mar 31, 2022 | 54.84 Mn |
| Dec 31, 2021 | 38.49 Mn |
| Sep 30, 2021 | 31.26 Mn |
Array Technologies Other Accumulated Expenses 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=other-accumulated-expenses&ticker=ARRY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=ARRY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();