FTC Solar (FTCI) Total Current Liabilities (2020 - 2026)
FTC Solar (FTCI) reported Total Current Liabilities of $91.23 million for Q2 2026, up 50.5% from $60.63 million a year earlier and up 43.8% from the prior quarter.
FTC Solar (FTCI) Total Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, FTC Solar posted Total Current Liabilities of $68.23 million, up 39.0% from FY2024.
- Total Current Liabilities has a five-year compound annual growth rate of 2.7% (FY2020 to FY2025).
- By year, Total Current Liabilities came in at $49.07 million in FY2024 (-10.2%), $54.67 million in FY2023 (-9.4%), $60.34 million in FY2022 (-35.3%) and $93.25 million in FY2021 (+55.9%).
- The Q2 2026 figure ranks as the highest quarterly Total Current Liabilities since Q4 2021.
- Year over year, Total Current Liabilities has now increased in each of the last five quarters, with growth averaging 15.0% over the last eight quarters.
- The high point for year-over-year Total Current Liabilities in five years was Q4 2021 (growth of 55.9%); the low point was Q2 2023 (a decline of 35.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $63.45 million (Q1 2026), $68.23 million (Q4 2025) and $58.13 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 252.99 Bn | 214.06 Bn | 2.36 Bn | 55.83 Bn |
| 2 | Bloom Energy | 81.25 Bn | 73.07 Bn | 355.57 Mn | 1.12 Bn |
| 3 | First Solar | 18.82 Bn | 9.78 Bn | 605.00 Mn | 2.11 Bn |
| 4 | BWX Technologies | 12.55 Bn | 10.85 Bn | 202.31 Mn | 713.27 Mn |
| 5 | Generac Holdings | 12.21 Bn | 11.04 Bn | 521.81 Mn | 1.19 Bn |
| 6 | Nextpower | 11.82 Bn | 7.71 Bn | 335.85 Mn | 1.13 Bn |
| 7 | EnerSys | 6.67 Bn | 4.86 Bn | 313.36 Mn | 761.97 Mn |
| 8 | Enphase Energy | 4.36 Bn | -500.13 Mn | 175.01 Mn | 565.16 Mn |
| 9 | Mirion Technologies | 3.45 Bn | 1.34 Bn | 133.10 Mn | 281.60 Mn |
| 10 | FTC Solar | 35.38 Mn | -26.81 Mn | -2.23 Mn | 91.23 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 91.23 Mn |
| Mar 31, 2026 | 63.45 Mn |
| Dec 31, 2025 | 68.23 Mn |
| Sep 30, 2025 | 58.13 Mn |
| Jun 30, 2025 | 60.63 Mn |
| Mar 31, 2025 | 50.90 Mn |
| Dec 31, 2024 | 49.07 Mn |
| Sep 30, 2024 | 57.35 Mn |
| Jun 30, 2024 | 51.32 Mn |
| Mar 31, 2024 | 54.53 Mn |
| Dec 31, 2023 | 54.67 Mn |
| Sep 30, 2023 | 55.59 Mn |
| Jun 30, 2023 | 50.92 Mn |
| Mar 31, 2023 | 63.04 Mn |
| Dec 31, 2022 | 60.34 Mn |
| Sep 30, 2022 | 61.48 Mn |
| Jun 30, 2022 | 78.89 Mn |
| Mar 31, 2022 | 84.46 Mn |
| Dec 31, 2021 | 93.25 Mn |
| Sep 30, 2021 | 66.41 Mn |
FTC Solar Total Current 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-current-liabilities&ticker=FTCI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=FTCI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();