Solaredge Technologies (SEDG) Interest Expenses (2022 - 2026)
Solaredge Technologies' Interest Expenses was $12.38 million in Q2 2026, up 69.0% from $7.32 million a year earlier.
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Analysis
Solaredge Technologies (SEDG) Interest Expenses (2022 - 2026) Analysis & Trends
On a trailing twelve-month basis, Solaredge Technologies' Interest Expenses was $17.7 million through Jun 30, 2026.
- The Q2 2026 figure marks the highest quarterly Interest Expenses since Q3 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 243.42 Bn | 203.34 Bn | 2.36 Bn | -73.00 Mn |
| 2 | Bloom Energy | 64.86 Bn | 56.65 Bn | 355.57 Mn | 8.91 Mn |
| 3 | First Solar | 18.49 Bn | 9.44 Bn | 605.00 Mn | 5.56 Mn |
| 4 | BWX Technologies | 12.47 Bn | 10.77 Bn | 202.31 Mn | 5.28 Mn |
| 5 | Nextpower | 12.04 Bn | 7.93 Bn | 335.85 Mn | - |
| 6 | Generac Holdings | 11.40 Bn | 10.23 Bn | 521.81 Mn | 16.79 Mn |
| 7 | EnerSys | 6.16 Bn | 4.36 Bn | 313.36 Mn | 10.60 Mn |
| 8 | Enphase Energy | 4.04 Bn | -817.10 Mn | 175.01 Mn | 327,000.00 |
| 9 | Mirion Technologies | 3.66 Bn | 1.50 Bn | 133.10 Mn | 8.40 Mn |
| 10 | Solaredge Technologies | 1.90 Bn | -184.28 Mn | 95.15 Mn | 12.38 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.38 Mn |
| Mar 31, 2026 | 1.04 Mn |
| Sep 30, 2025 | -3.04 Mn |
| Jun 30, 2025 | 7.32 Mn |
| Mar 31, 2025 | -10.07 Mn |
| Sep 30, 2024 | -5.56 Mn |
| Jun 30, 2024 | 865,000.00 |
| Mar 31, 2024 | 7.06 Mn |
| Sep 30, 2023 | 7.90 Mn |
| Jun 30, 2023 | -3.38 Mn |
| Mar 31, 2023 | -23.67 Mn |
| Sep 30, 2022 | 33.15 Mn |
| Jun 30, 2022 | 14.31 Mn |
| Mar 31, 2022 | 4.61 Mn |
API Access
Solaredge 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=SEDG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "SEDG", "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=SEDG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();