Tigo Energy (TYGO) Non Operating Interest Expenses (2022 - 2026)
Tigo Energy (TYGO) reported Non Operating Interest Expenses of $26,000 for Q2 2026, down 99.1% from $2.87 million a year earlier.
Tigo Energy (TYGO) Non Operating Interest Expenses (2022 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Tigo Energy's Non Operating Interest Expenses came in at $5.3 million, down 53.8% year-over-year; for FY2025, it came in at $11.01 million, down 3.6% from FY2024.
- Non Operating Interest Expenses has a three-year compound annual growth rate of 94.6% (FY2022 to FY2025).
- By year, Non Operating Interest Expenses came in at $11.42 million in FY2024 (+40.7%), $8.12 million in FY2023 (+443.2%) and $1.49 million in FY2022.
- Five-year quarterly Non Operating Interest Expenses spans a low of -$400,000 in Q2 2022 and a high of $2.88 million in Q4 2023.
- Year over year, Non Operating Interest Expenses has now declined in each of the last three quarters, with an average decline of 26.7% over the last eight quarters.
- The high point for year-over-year Non Operating Interest Expenses in five years was Q1 2024 (growth of 263.2%); the low point was Q1 2026 (a decline of 100.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1,000 (Q1 2026), $2.41 million (Q4 2025) and $2.86 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 252.99 Bn | 214.06 Bn | 2.36 Bn | -73.00 Mn |
| 2 | Bloom Energy | 81.25 Bn | 73.07 Bn | 355.57 Mn | 8.91 Mn |
| 3 | First Solar | 18.82 Bn | 9.78 Bn | 605.00 Mn | 5.56 Mn |
| 4 | BWX Technologies | 12.55 Bn | 10.85 Bn | 202.31 Mn | 5.28 Mn |
| 5 | Generac Holdings | 12.21 Bn | 11.04 Bn | 521.81 Mn | 16.79 Mn |
| 6 | Nextpower | 11.82 Bn | 7.71 Bn | 335.85 Mn | - |
| 7 | EnerSys | 6.67 Bn | 4.86 Bn | 313.36 Mn | 10.60 Mn |
| 8 | Enphase Energy | 4.36 Bn | -500.13 Mn | 175.01 Mn | 327,000.00 |
| 9 | Mirion Technologies | 3.45 Bn | 1.34 Bn | 133.10 Mn | 8.40 Mn |
| 10 | Tigo Energy | 69.86 Mn | -6.61 Mn | 10.00 Mn | 26,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 26,000.00 |
| Mar 31, 2026 | 1,000.00 |
| Dec 31, 2025 | 2.41 Mn |
| Sep 30, 2025 | 2.86 Mn |
| Jun 30, 2025 | 2.87 Mn |
| Mar 31, 2025 | 2.87 Mn |
| Dec 31, 2024 | 2.87 Mn |
| Sep 30, 2024 | 2.86 Mn |
| Jun 30, 2024 | 2.86 Mn |
| Mar 31, 2024 | 2.83 Mn |
| Dec 31, 2023 | 2.88 Mn |
| Sep 30, 2023 | 2.88 Mn |
| Jun 30, 2023 | 1.59 Mn |
| Mar 31, 2023 | 778,000.00 |
| Dec 31, 2022 | 2.74 Mn |
| Sep 30, 2022 | -392,000.00 |
| Jun 30, 2022 | -400,000.00 |
Tigo Energy Non Operating 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=non-operating-interest-expenses&ticker=TYGO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "TYGO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=non-operating-interest-expenses&ticker=TYGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();