FTC Solar (FTCI) Total Liabilities (2020 - 2026)
FTC Solar (FTCI) reported Total Liabilities of $128.41 million for Q2 2026, up 73.7% from $73.91 million a year earlier and up 23.5% from the prior quarter.
FTC Solar (FTCI) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, FTC Solar posted Total Liabilities of $154.77 million, up 118.3% from FY2024.
- Total Liabilities has a five-year compound annual growth rate of 19.3% (FY2020 to FY2025).
- By year, Total Liabilities came in at $70.89 million in FY2024 (+17.0%), $60.6 million in FY2023 (-10.8%), $67.95 million in FY2022 (-32.2%) and $100.15 million in FY2021 (+56.6%).
- Five-year quarterly Total Liabilities spans a low of $56.11 million in Q2 2024 and a high of $154.77 million in Q4 2025.
- Year over year, Total Liabilities has now increased in each of the last seven quarters, with growth averaging 51.2% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was Q4 2025 (growth of 118.3%); the low point was Q4 2022 (a decline of 32.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $104 million (Q1 2026), $154.77 million (Q4 2025) and $125.26 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 | FTC Solar | 35.38 Mn | -26.81 Mn | -2.23 Mn | 128.41 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 128.41 Mn |
| Mar 31, 2026 | 104.00 Mn |
| Dec 31, 2025 | 154.77 Mn |
| Sep 30, 2025 | 125.26 Mn |
| Jun 30, 2025 | 73.91 Mn |
| Mar 31, 2025 | 68.53 Mn |
| Dec 31, 2024 | 70.89 Mn |
| Sep 30, 2024 | 61.29 Mn |
| Jun 30, 2024 | 56.11 Mn |
| Mar 31, 2024 | 59.87 Mn |
| Dec 31, 2023 | 60.60 Mn |
| Sep 30, 2023 | 62.19 Mn |
| Jun 30, 2023 | 58.04 Mn |
| Mar 31, 2023 | 70.80 Mn |
| Dec 31, 2022 | 67.95 Mn |
| Sep 30, 2022 | 66.95 Mn |
| Jun 30, 2022 | 85.50 Mn |
| Mar 31, 2022 | 91.24 Mn |
| Dec 31, 2021 | 100.15 Mn |
| Sep 30, 2021 | 72.07 Mn |
FTC Solar 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=FTCI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "FTCI", "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=FTCI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();