Tigo Energy (TYGO) Operating Expenses (2020 - 2026)
Tigo Energy (TYGO) recorded Operating Expenses of $11.68 million in Q2 2026, down 4.8% from $12.27 million a year earlier and down 11.6% from the prior quarter.
Tigo Energy (TYGO) Operating Expenses (2020 - 2026) Analysis & Trends
On a TTM basis, Tigo Energy's Operating Expenses came in at $50.31 million as of Jun 30, 2026, up 6.7% year-over-year; for FY2025, it was $48.85 million, up 2.1% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 657.0% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $47.84 million in FY2024 (-19.7%), $59.58 million in FY2023 (+132.1%), $25.67 million in FY2022 and $415,858 in FY2021.
- The Q2 2026 figure is the lowest quarterly Operating Expenses since Q1 2025.
- On a year-over-year basis, Operating Expenses rose in three of the last eight quarters, with an average decline of 3.5%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 250.3% in Q2 2023, against a decline of 29.8% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $13.2 million (Q1 2026), $13.02 million (Q4 2025) and $12.41 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 252.99 Bn | 214.06 Bn | 2.36 Bn | 1.71 Bn |
| 2 | Bloom Energy | 81.25 Bn | 73.07 Bn | 355.57 Mn | 173.34 Mn |
| 3 | First Solar | 18.82 Bn | 9.78 Bn | 605.00 Mn | 154.62 Mn |
| 4 | BWX Technologies | 12.55 Bn | 10.85 Bn | 202.31 Mn | 811.92 Mn |
| 5 | Generac Holdings | 12.21 Bn | 11.04 Bn | 521.81 Mn | 311.38 Mn |
| 6 | Nextpower | 11.82 Bn | 7.71 Bn | 335.85 Mn | 144.95 Mn |
| 7 | EnerSys | 6.67 Bn | 4.86 Bn | 313.36 Mn | 151.24 Mn |
| 8 | Enphase Energy | 4.36 Bn | -500.13 Mn | 175.01 Mn | 123.50 Mn |
| 9 | Mirion Technologies | 3.45 Bn | 1.34 Bn | 133.10 Mn | 115.20 Mn |
| 10 | Tigo Energy | 69.86 Mn | -6.61 Mn | 10.00 Mn | 11.68 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.68 Mn |
| Mar 31, 2026 | 13.20 Mn |
| Dec 31, 2025 | 13.02 Mn |
| Sep 30, 2025 | 12.41 Mn |
| Jun 30, 2025 | 12.27 Mn |
| Mar 31, 2025 | 11.15 Mn |
| Dec 31, 2024 | 11.53 Mn |
| Sep 30, 2024 | 12.19 Mn |
| Jun 30, 2024 | 12.27 Mn |
| Mar 31, 2024 | 11.85 Mn |
| Dec 31, 2023 | 16.42 Mn |
| Sep 30, 2023 | 15.38 Mn |
| Jun 30, 2023 | 17.24 Mn |
| Mar 31, 2023 | 10.55 Mn |
| Dec 31, 2022 | 7.81 Mn |
| Sep 30, 2022 | 8.68 Mn |
| Jun 30, 2022 | 4.92 Mn |
| Mar 31, 2022 | 155,407.00 |
| Dec 31, 2021 | 282,881.00 |
| Sep 30, 2021 | 132,787.00 |
Tigo Energy Operating 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=operating-expenses&ticker=TYGO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=TYGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();