Array Technologies (ARRY) Depreciation and Depletion (2019 - 2026)
Array Technologies (ARRY) reported Depreciation and Depletion of $2.7 million for Q2 2026, up 145.5% from $1.1 million a year earlier and up 12.5% from the prior quarter.
Array Technologies (ARRY) Depreciation and Depletion (2019 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Array Technologies' Depreciation and Depletion came in at $9 million, up 95.7% year-over-year; for FY2025, it was $6.1 million, up 38.6% from FY2024.
- Depreciation and Depletion has increased for three consecutive years, with a five-year compound annual growth rate of 22.6% (FY2020 to FY2025).
- By year, Depreciation and Depletion came in at $4.4 million in FY2024 (+69.2%), $2.6 million in FY2023 (+8.3%), $2.4 million in FY2022 (unchanged) and $2.4 million in FY2021 (+9.1%).
- The Q2 2026 figure ranks as the highest quarterly Depreciation and Depletion in data going back to Q3 2019.
- Year over year, Depreciation and Depletion has now increased in each of the last four quarters, with growth averaging 70.1% over the last eight quarters.
- The high point for year-over-year Depreciation and Depletion in five years was Q2 2026 (growth of 145.5%); the low point was Q4 2022 (a decline of 16.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $2.4 million (Q1 2026), $2.3 million (Q4 2025) and $1.6 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 204.52 Bn | 156.77 Bn | 3.11 Bn | 200.00 Mn |
| 2 | Bloom Energy | 49.50 Bn | 39.43 Bn | 417.10 Mn | 13.81 Mn |
| 3 | First Solar | 21.04 Bn | 12.41 Bn | 713.06 Mn | 143.60 Mn |
| 4 | Nextpower | 15.01 Bn | 10.72 Bn | 345.32 Mn | - |
| 5 | BWX Technologies | 10.53 Bn | 8.35 Bn | 227.14 Mn | - |
| 6 | Generac Holdings | 10.17 Bn | 8.90 Bn | 516.04 Mn | 28.67 Mn |
| 7 | EnerSys | 5.18 Bn | 3.37 Bn | 313.36 Mn | 22.22 Mn |
| 8 | Mirion Technologies | 4.15 Bn | 2.56 Bn | 131.50 Mn | 6.00 Mn |
| 9 | Enphase Energy | 3.83 Bn | -480.29 Mn | 127.12 Mn | - |
| 10 | Array Technologies | 816.24 Mn | -157.67 Mn | 99.60 Mn | 2.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.70 Mn |
| Mar 31, 2026 | 2.40 Mn |
| Dec 31, 2025 | 2.30 Mn |
| Sep 30, 2025 | 1.60 Mn |
| Jun 30, 2025 | 1.10 Mn |
| Mar 31, 2025 | 1.10 Mn |
| Dec 31, 2024 | 1.10 Mn |
| Sep 30, 2024 | 1.30 Mn |
| Jun 30, 2024 | 1.10 Mn |
| Mar 31, 2024 | 900,000.00 |
| Dec 31, 2023 | 700,000.00 |
| Sep 30, 2023 | 700,000.00 |
| Jun 30, 2023 | 600,000.00 |
| Mar 31, 2023 | 600,000.00 |
| Dec 31, 2022 | 500,000.00 |
| Sep 30, 2022 | 700,000.00 |
| Jun 30, 2022 | 600,000.00 |
| Mar 31, 2022 | 600,000.00 |
| Dec 31, 2021 | 600,000.00 |
| Sep 30, 2021 | 600,000.00 |
Array Technologies Depreciation and Depletion 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=depreciation-and-depletion&ticker=ARRY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=ARRY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();