Array Technologies (ARRY) Amortizatization 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) Amortizatization 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 | 263.36 Bn | 224.44 Bn | 2.36 Bn | 236.00 Mn |
| 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 | 30.82 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 | 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 Amortizatization 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();