Tigo Energy (TYGO) Total Liabilities (2020 - 2026)
Tigo Energy's Total Liabilities was $33.22 million in Q2 2026, down 57.9% from $78.95 million a year earlier and down 2.3% from the prior quarter.
Tigo Energy (TYGO) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Tigo Energy came in at $50.41 million, down 21.9% from FY2024.
- Total Liabilities has now declined for four consecutive years, though with a five-year compound annual growth rate of 709.5% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $64.53 million in FY2024 (-0.7%), $64.95 million in FY2023 (-54.8%), $143.77 million in FY2022 (-14.3%) and $167.73 million in FY2021.
- The Q2 2026 figure marks the lowest quarterly Total Liabilities since Q2 2021.
- Compared with a year earlier, Total Liabilities has declined for three straight quarters, with an average decline of 3.6% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was Q3 2022 (growth of 50.0%); the worst was Q2 2024 (a decline of 64.4%).
- Per Business Quant data, TYGO's Total Liabilities in the three quarters before Q2 2026 was $34.01 million (Q1 2026), $50.41 million (Q4 2025) and $95.78 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 252.99 Bn | 214.06 Bn | 2.36 Bn | 67.69 Bn |
| 2 | Bloom Energy | 81.25 Bn | 73.07 Bn | 355.57 Mn | 3.99 Bn |
| 3 | First Solar | 18.82 Bn | 9.78 Bn | 605.00 Mn | 3.07 Bn |
| 4 | BWX Technologies | 12.55 Bn | 10.85 Bn | 202.31 Mn | 3.09 Bn |
| 5 | Generac Holdings | 12.21 Bn | 11.04 Bn | 521.81 Mn | 2.89 Bn |
| 6 | Nextpower | 11.82 Bn | 7.71 Bn | 335.85 Mn | 1.71 Bn |
| 7 | EnerSys | 6.67 Bn | 4.86 Bn | 313.36 Mn | 1.98 Bn |
| 8 | Enphase Energy | 4.36 Bn | -500.13 Mn | 175.01 Mn | 1.74 Bn |
| 9 | Mirion Technologies | 3.45 Bn | 1.34 Bn | 133.10 Mn | 1.65 Bn |
| 10 | Tigo Energy | 69.86 Mn | -6.61 Mn | 10.00 Mn | 33.22 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 33.22 Mn |
| Mar 31, 2026 | 34.01 Mn |
| Dec 31, 2025 | 50.41 Mn |
| Sep 30, 2025 | 95.78 Mn |
| Jun 30, 2025 | 78.95 Mn |
| Mar 31, 2025 | 66.86 Mn |
| Dec 31, 2024 | 64.53 Mn |
| Sep 30, 2024 | 65.10 Mn |
| Jun 30, 2024 | 58.59 Mn |
| Mar 31, 2024 | 54.80 Mn |
| Dec 31, 2023 | 64.95 Mn |
| Sep 30, 2023 | 67.31 Mn |
| Jun 30, 2023 | 164.70 Mn |
| Mar 31, 2023 | 63.10 Mn |
| Dec 31, 2022 | 143.77 Mn |
| Sep 30, 2022 | 175.21 Mn |
| Jun 30, 2022 | 172.89 Mn |
| Mar 31, 2022 | 173.14 Mn |
| Dec 31, 2021 | 167.73 Mn |
| Sep 30, 2021 | 116.81 Mn |
Tigo Energy Total Liabilities 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=total-liabilities&ticker=TYGO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=TYGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();