FTC Solar (FTCI) Total Non-Current Liabilities (2020 - 2026)
FTC Solar's Total Non-Current Liabilities was $121.99 million in Q3 2026, up 145.6% from $49.67 million a year earlier and up 31.8% from the prior quarter.
FTC Solar (FTCI) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at FTC Solar came in at $78.7 million, up 28.2% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 5.2% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $61.37 million in FY2024 (+1.3%), $60.6 million in FY2023 (-0.9%), $61.13 million in FY2022 (-35.4%) and $94.59 million in FY2021 (+55.2%).
- The Q3 2026 figure marks the highest quarterly Total Non-Current Liabilities in data going back to Q4 2020.
- Compared with a year earlier, Total Non-Current Liabilities has increased for four straight quarters, with growth averaging 32.8% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q3 2026 (growth of 145.6%); the worst was Q4 2022 (a decline of 35.4%).
- Per Business Quant data, FTCI's Total Non-Current Liabilities in the three quarters before Q3 2026 was $92.54 million (Q2 2026), $76.95 million (Q1 2026) and $78.7 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 212.47 Bn | 164.72 Bn | 3.11 Bn | 66.73 Bn |
| 2 | Bloom Energy | 56.73 Bn | 46.66 Bn | 417.10 Mn | 4.60 Bn |
| 3 | First Solar | 18.42 Bn | 9.79 Bn | 713.06 Mn | 2.80 Bn |
| 4 | Nextpower | 14.32 Bn | 10.03 Bn | 345.32 Mn | 1.85 Bn |
| 5 | BWX Technologies | 11.27 Bn | 9.04 Bn | 227.14 Mn | 3.14 Bn |
| 6 | Generac Holdings | 11.25 Bn | 9.99 Bn | 516.04 Mn | - |
| 7 | Innio | 10.93 Bn | 7.17 Bn | 367.70 Mn | 5.61 Bn |
| 8 | EnerSys | 5.13 Bn | 3.44 Bn | 284.35 Mn | 1.60 Bn |
| 9 | Mirion Technologies | 4.30 Bn | 2.71 Bn | 131.50 Mn | 1.59 Bn |
| 10 | FTC Solar | 19.06 Mn | -35.44 Mn | 1.90 Mn | 121.99 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 121.99 Mn |
| Jun 30, 2026 | 92.54 Mn |
| Mar 31, 2026 | 76.95 Mn |
| Dec 31, 2025 | 78.70 Mn |
| Sep 30, 2025 | 49.67 Mn |
| Jun 30, 2025 | 73.91 Mn |
| Mar 31, 2025 | 63.62 Mn |
| Dec 31, 2024 | 61.37 Mn |
| Sep 30, 2024 | 58.23 Mn |
| Jun 30, 2024 | 52.43 Mn |
| Mar 31, 2024 | 55.47 Mn |
| Dec 31, 2023 | 60.60 Mn |
| Sep 30, 2023 | 56.90 Mn |
| Jun 30, 2023 | 52.42 Mn |
| Mar 31, 2023 | 64.72 Mn |
| Dec 31, 2022 | 61.13 Mn |
| Sep 30, 2022 | 62.48 Mn |
| Jun 30, 2022 | 80.34 Mn |
| Mar 31, 2022 | 85.65 Mn |
| Dec 31, 2021 | 94.59 Mn |
FTC Solar Total Non-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-non-current-liabilities&ticker=FTCI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-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-non-current-liabilities&ticker=FTCI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();