Fdctech (FDCT) Total Liabilities (2017 - 2026)
Fdctech (FDCT) recorded Total Liabilities of $38.92 million in Q1 2026, up 73.8% from $22.39 million a year earlier but down 5.9% from the prior quarter.
Fdctech (FDCT) Total Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025, Fdctech reported Total Liabilities of $41.36 million, up 51.5% from FY2024.
- Annual Total Liabilities has a five-year compound annual growth rate of 88.5% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $27.3 million in FY2024 (-20.9%), $34.49 million in FY2023, $1.37 million in FY2022 (-37.2%) and $2.18 million in FY2021 (+25.5%).
- Quarterly Total Liabilities has ranged from $698,590 in Q2 2021 to $48.41 million in Q1 2024 over the past five years.
- On a year-over-year basis, Total Liabilities rose in four of the last eight quarters, with growth averaging 153.6%.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 678.4% in Q2 2024, against a decline of 56.7% in Q2 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $41.36 million (Q4 2025), $23.64 million (Q3 2025) and $23.39 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 105.82 Bn | 93.92 Bn | - | 168.16 Bn |
| 2 | Intercontinental Exchange | 89.41 Bn | 83.14 Bn | - | 144.63 Bn |
| 3 | Robinhood Markets | 86.77 Bn | 67.81 Bn | - | 47.01 Bn |
| 4 | Nasdaq | 52.58 Bn | 50.01 Bn | 1.50 Bn | 15.35 Bn |
| 5 | Interactive Brokers | 36.48 Bn | 13.59 Bn | - | 225.06 Bn |
| 6 | Cboe Global Markets | 32.16 Bn | 23.82 Bn | 731.60 Mn | 4.98 Bn |
| 7 | LPL Financial Holdings | 25.21 Bn | 20.53 Bn | - | 14.03 Bn |
| 8 | Tradeweb Markets | 24.34 Bn | 16.35 Bn | - | 912.69 Mn |
| 9 | Circle Internet | 20.17 Bn | 14.05 Bn | 288.85 Mn | 73.66 Bn |
| 10 | Fdctech | 16.88 Mn | -48.41 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 38.92 Mn |
| Dec 31, 2025 | 41.36 Mn |
| Sep 30, 2025 | 23.64 Mn |
| Jun 30, 2025 | 23.39 Mn |
| Mar 31, 2025 | 22.39 Mn |
| Dec 31, 2024 | 27.30 Mn |
| Sep 30, 2024 | 37.56 Mn |
| Jun 30, 2024 | 33.97 Mn |
| Mar 31, 2024 | 48.41 Mn |
| Dec 31, 2023 | 34.49 Mn |
| Sep 30, 2023 | 5.63 Mn |
| Jun 30, 2023 | 4.36 Mn |
| Mar 31, 2023 | 2.14 Mn |
| Dec 31, 2022 | 1.37 Mn |
| Sep 30, 2022 | 2.84 Mn |
| Jun 30, 2022 | 2.80 Mn |
| Mar 31, 2022 | 2.71 Mn |
| Dec 31, 2021 | 2.18 Mn |
| Sep 30, 2021 | 841,090.00 |
| Jun 30, 2021 | 698,590.00 |
Fdctech 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=FDCT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "FDCT", "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=FDCT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();