Array Technologies (ARRY) Interest Expenses (2019 - 2026)
Array Technologies (ARRY) posted Interest Expenses of $5.79 million for Q2 2026, down 34.0% from $8.77 million a year earlier but up 4.0% from the prior quarter.
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Analysis
Array Technologies (ARRY) Interest Expenses (2019 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Interest Expenses at Array Technologies was $21.88 million, down 35.8% year-over-year; for FY2025, it was $27.33 million, down 21.5% from FY2024.
- Annual Interest Expenses shows a five-year compound annual growth rate of 12.6% (FY2020 to FY2025).
- In prior years, Array Technologies' Interest Expenses was $34.83 million in FY2024 (-21.3%), $44.23 million in FY2023 (+20.5%), $36.69 million in FY2022 (+2.8%) and $35.68 million in FY2021 (+135.9%).
- Quarterly Interest Expenses has run from a low of $5.05 million in Q3 2025 to a high of $13.11 million in Q3 2021 over five years.
- On a year-over-year basis, Interest Expenses has declined in each of the last four quarters, with an average decline of 23.3% over the last eight quarters.
- The strongest year-over-year quarter for Interest Expenses in the past five years was Q4 2022, with growth of 86.3%; the weakest was Q4 2025, with a decline of 39.1%.
- According to Business Quant data, Interest Expenses for the three prior quarters was $5.56 million (Q1 2026), $5.48 million (Q4 2025) and $5.05 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 256.40 Bn | 217.48 Bn | 2.36 Bn | -73.00 Mn |
| 2 | Bloom Energy | 85.45 Bn | 77.27 Bn | 355.57 Mn | 8.91 Mn |
| 3 | First Solar | 19.01 Bn | 9.97 Bn | 605.00 Mn | 5.56 Mn |
| 4 | BWX Technologies | 12.64 Bn | 10.94 Bn | 202.31 Mn | 5.28 Mn |
| 5 | Generac Holdings | 12.53 Bn | 11.36 Bn | 521.81 Mn | 16.79 Mn |
| 6 | Nextpower | 12.03 Bn | 7.92 Bn | 335.85 Mn | - |
| 7 | EnerSys | 6.62 Bn | 4.81 Bn | 313.36 Mn | 10.60 Mn |
| 8 | Enphase Energy | 4.21 Bn | -653.40 Mn | 175.01 Mn | 327,000.00 |
| 9 | Mirion Technologies | 3.51 Bn | 1.39 Bn | 133.10 Mn | 8.40 Mn |
| 10 | Array Technologies | 614.49 Mn | -359.42 Mn | 99.60 Mn | 5.79 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.79 Mn |
| Mar 31, 2026 | 5.56 Mn |
| Dec 31, 2025 | 5.48 Mn |
| Sep 30, 2025 | 5.05 Mn |
| Jun 30, 2025 | 8.77 Mn |
| Mar 31, 2025 | 8.04 Mn |
| Dec 31, 2024 | 9.01 Mn |
| Sep 30, 2024 | 8.26 Mn |
| Jun 30, 2024 | 8.61 Mn |
| Mar 31, 2024 | 8.94 Mn |
| Dec 31, 2023 | 8.86 Mn |
| Sep 30, 2023 | 13.06 Mn |
| Jun 30, 2023 | 11.58 Mn |
| Mar 31, 2023 | 10.73 Mn |
| Dec 31, 2022 | 12.88 Mn |
| Sep 30, 2022 | 8.83 Mn |
| Jun 30, 2022 | 8.02 Mn |
| Mar 31, 2022 | 6.94 Mn |
| Dec 31, 2021 | 6.92 Mn |
| Sep 30, 2021 | 13.11 Mn |
API Access
Array Technologies Interest 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=interest-expenses&ticker=ARRY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-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=interest-expenses&ticker=ARRY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();