Array Technologies (ARRY) Amortization of Intangibles (2022 - 2026)
Array Technologies (ARRY) posted Amortizatization of Intangibles of $5.62 million for Q2 2026, up 54.3% from $3.64 million a year earlier and unchanged from the prior quarter.
Array Technologies (ARRY) Amortization of Intangibles (2022 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Amortizatization of Intangibles at Array Technologies was $21.47 million, up 47.5% year-over-year; for FY2025, it came in at $17.52 million, up 20.3% from FY2024.
- Annual Amortizatization of Intangibles shows a four-year compound annual growth rate of 4.7% (FY2021 to FY2025).
- In prior years, Array Technologies' Amortizatization of Intangibles was $14.56 million in FY2024 (unchanged), $14.56 million in FY2023 (unchanged), $14.56 million in FY2022 (unchanged) and $14.56 million in FY2021.
- Quarterly Amortizatization of Intangibles has run from a low of $3.64 million in Q1 2023 to a high of $5.81 million in Q4 2025 over five years.
- On a year-over-year basis, Amortizatization of Intangibles has increased in each of the last four quarters, with growth averaging 23.7% over the last eight quarters.
- The year-over-year growth in Amortizatization of Intangibles has ranged between 0.0% (Q3 2024) and 59.5% (Q4 2025) over the last five years.
- According to Business Quant data, Amortizatization of Intangibles for the three prior quarters was $5.61 million (Q1 2026), $5.81 million (Q4 2025) and $4.43 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 206.05 Bn | 157.15 Bn | 3.11 Bn | 239.00 Mn |
| 2 | Bloom Energy | 51.10 Bn | 41.00 Bn | 417.10 Mn | - |
| 3 | First Solar | 21.63 Bn | 12.99 Bn | 713.06 Mn | - |
| 4 | Nextpower | 15.87 Bn | 11.57 Bn | 345.32 Mn | - |
| 5 | BWX Technologies | 10.96 Bn | 8.77 Bn | 227.14 Mn | - |
| 6 | Generac Holdings | 10.36 Bn | 9.10 Bn | 516.04 Mn | 28.62 Mn |
| 7 | EnerSys | 5.36 Bn | 3.55 Bn | 313.36 Mn | - |
| 8 | Mirion Technologies | 4.35 Bn | 2.71 Bn | 131.50 Mn | - |
| 9 | Enphase Energy | 3.78 Bn | -535.47 Mn | 127.12 Mn | - |
| 10 | Array Technologies | 900.89 Mn | -73.02 Mn | 99.60 Mn | 5.62 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.62 Mn |
| Mar 31, 2026 | 5.61 Mn |
| Dec 31, 2025 | 5.81 Mn |
| Sep 30, 2025 | 4.43 Mn |
| Jun 30, 2025 | 3.64 Mn |
| Mar 31, 2025 | 3.64 Mn |
| Dec 31, 2024 | 3.64 Mn |
| Sep 30, 2024 | 3.64 Mn |
| Jun 30, 2024 | 3.64 Mn |
| Mar 31, 2024 | 3.64 Mn |
| Dec 31, 2023 | 3.64 Mn |
| Sep 30, 2023 | 3.64 Mn |
| Jun 30, 2023 | 3.64 Mn |
| Mar 31, 2023 | 3.64 Mn |
| Dec 31, 2022 | 3.64 Mn |
| Sep 30, 2022 | 3.64 Mn |
Array Technologies Amortization of Intangibles 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=amortizatization-of-intangibles&ticker=ARRY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "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=amortizatization-of-intangibles&ticker=ARRY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();