Array Technologies (ARRY) Receivables (2019 - 2026)
Array Technologies (ARRY) reported Receivables of $421.64 million for Q2 2026, down 11.7% from $477.61 million a year earlier but up 4.7% from the prior quarter.
Array Technologies (ARRY) Receivables (2019 - 2026) Analysis & Trends
At the end of FY2025, Array Technologies posted Receivables of $364.38 million, down 1.5% from FY2024.
- Receivables has declined for three consecutive years, though with a five-year compound annual growth rate of 21.7% (FY2020 to FY2025).
- By year, Receivables came in at $369.84 million in FY2024 (-14.9%), $434.76 million in FY2023 (-16.8%), $522.7 million in FY2022 (+50.5%) and $347.23 million in FY2021 (+153.9%).
- Five-year quarterly Receivables spans a low of $231.22 million in Q3 2021 and a high of $644 million in Q2 2023.
- Year over year, Receivables gained in four of the last eight quarters, with growth averaging 2.8%.
- The high point for year-over-year Receivables in five years was Q2 2022 (growth of 199.0%); the low point was Q2 2024 (a decline of 39.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $402.83 million (Q1 2026), $364.38 million (Q4 2025) and $497.48 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 235.57 Bn | 195.48 Bn | 2.36 Bn | 20.62 Bn |
| 2 | Bloom Energy | 65.00 Bn | 54.90 Bn | 417.10 Mn | 1.43 Bn |
| 3 | First Solar | 19.00 Bn | 9.95 Bn | 605.00 Mn | 1.76 Bn |
| 4 | BWX Technologies | 12.24 Bn | 10.54 Bn | 202.31 Mn | 820.54 Mn |
| 5 | Nextpower | 11.99 Bn | 7.88 Bn | 335.85 Mn | 1.05 Bn |
| 6 | Generac Holdings | 11.35 Bn | 10.18 Bn | 521.81 Mn | 669.20 Mn |
| 7 | EnerSys | 6.33 Bn | 4.52 Bn | 313.36 Mn | 543.79 Mn |
| 8 | Enphase Energy | 4.18 Bn | -682.50 Mn | 175.01 Mn | 308.42 Mn |
| 9 | Mirion Technologies | 3.77 Bn | 1.60 Bn | 133.10 Mn | 267.40 Mn |
| 10 | Array Technologies | 514.68 Mn | -459.23 Mn | 99.60 Mn | 421.64 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 421.64 Mn |
| Mar 31, 2026 | 402.83 Mn |
| Dec 31, 2025 | 364.38 Mn |
| Sep 30, 2025 | 497.48 Mn |
| Jun 30, 2025 | 477.61 Mn |
| Mar 31, 2025 | 382.04 Mn |
| Dec 31, 2024 | 369.84 Mn |
| Sep 30, 2024 | 359.61 Mn |
| Jun 30, 2024 | 388.22 Mn |
| Mar 31, 2024 | 341.70 Mn |
| Dec 31, 2023 | 434.76 Mn |
| Sep 30, 2023 | 501.74 Mn |
| Jun 30, 2023 | 644.00 Mn |
| Mar 31, 2023 | 536.72 Mn |
| Dec 31, 2022 | 522.70 Mn |
| Sep 30, 2022 | 622.13 Mn |
| Jun 30, 2022 | 559.68 Mn |
| Mar 31, 2022 | 526.92 Mn |
| Dec 31, 2021 | 347.23 Mn |
| Sep 30, 2021 | 231.22 Mn |
Array Technologies Receivables 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=receivables&ticker=ARRY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=ARRY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();