FTC Solar (FTCI) Total Current Liabilities (2020 - 2026)
FTC Solar (FTCI) reported Total Current Liabilities of $120.48 million for Q3 2026, up 107.3% from $58.13 million a year earlier and up 32.1% 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 Q3 2026 figure ranks as the highest quarterly Total Current Liabilities in data going back to Q4 2020.
- Year over year, Total Current Liabilities has now increased in each of the last six quarters, with growth averaging 28.0% over the last eight quarters.
- The high point for year-over-year Total Current Liabilities in five years was Q3 2026 (growth of 107.3%); the low point was Q2 2023 (a decline of 35.5%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $91.23 million (Q2 2026), $63.45 million (Q1 2026) and $68.23 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 212.47 Bn | 164.72 Bn | 3.11 Bn | 62.47 Bn |
| 2 | Bloom Energy | 56.73 Bn | 46.66 Bn | 417.10 Mn | 1.39 Bn |
| 3 | First Solar | 18.42 Bn | 9.79 Bn | 713.06 Mn | 2.06 Bn |
| 4 | Nextpower | 14.32 Bn | 10.03 Bn | 345.32 Mn | 1.37 Bn |
| 5 | BWX Technologies | 11.27 Bn | 9.04 Bn | 227.14 Mn | 960.93 Mn |
| 6 | Generac Holdings | 11.25 Bn | 9.99 Bn | 516.04 Mn | 1.42 Bn |
| 7 | Innio | 10.93 Bn | 7.17 Bn | 367.70 Mn | 2.30 Bn |
| 8 | EnerSys | 5.13 Bn | 3.44 Bn | 284.35 Mn | 795.20 Mn |
| 9 | Mirion Technologies | 4.30 Bn | 2.71 Bn | 131.50 Mn | 299.80 Mn |
| 10 | FTC Solar | 19.06 Mn | -35.44 Mn | 1.90 Mn | 120.48 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 120.48 Mn |
| 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 |
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();