Fdctech (FDCT) Interest Expenses (2017 - 2026)
Fdctech's Interest Expenses came in at -$132,448 for Q1 2026, compared with -$4,483 a year earlier.
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Analysis
Fdctech (FDCT) Interest Expenses (2017 - 2026) Analysis & Trends
Over the trailing twelve months to Mar 31, 2026, Fdctech reported Interest Expenses of -$144,122; for FY2025, it came in at -$16,157.
- Going back by year, Interest Expenses was $638,483 in FY2024.
- The five-year range for quarterly Interest Expenses is -$172,795 (Q4 2025) to $762,515 (Q2 2024).
- Business Quant data shows FDCT's Interest Expenses at -$172,795 (Q4 2025), $172,107 (Q3 2025) and -$10,986 (Q2 2025) in the three quarters before Q1 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 107.16 Bn | 95.26 Bn | - | 43.60 Mn |
| 2 | Intercontinental Exchange | 89.14 Bn | 82.88 Bn | - | 205.00 Mn |
| 3 | Robinhood Markets | 89.00 Bn | 70.04 Bn | - | 159.00 Mn |
| 4 | Nasdaq | 53.31 Bn | 50.74 Bn | 1.50 Bn | 86.00 Mn |
| 5 | Interactive Brokers | 36.97 Bn | 14.08 Bn | - | 1.18 Bn |
| 6 | Cboe Global Markets | 32.88 Bn | 24.54 Bn | 731.60 Mn | 13.20 Mn |
| 7 | LPL Financial Holdings | 25.65 Bn | 20.97 Bn | - | 101.50 Mn |
| 8 | Tradeweb Markets | 25.05 Bn | 17.07 Bn | - | 505,000.00 |
| 9 | Circle Internet | 21.09 Bn | 14.97 Bn | 288.85 Mn | - |
| 10 | Fdctech | 16.88 Mn | -48.41 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -132,448.00 |
| Dec 31, 2025 | -172,795.00 |
| Sep 30, 2025 | 172,107.00 |
| Jun 30, 2025 | -10,986.00 |
| Mar 31, 2025 | -4,483.00 |
| Dec 31, 2024 | -44,724.00 |
| Sep 30, 2024 | -25,542.00 |
| Jun 30, 2024 | 762,515.00 |
| Mar 31, 2024 | -53,766.00 |
| Sep 30, 2023 | 11,012.00 |
| Jun 30, 2023 | 7,693.00 |
| Mar 31, 2023 | 9,706.00 |
| Sep 30, 2018 | 15,000.00 |
| Jun 30, 2018 | 15,000.00 |
| Sep 30, 2017 | 15,194.00 |
| Jun 30, 2017 | 112,082.00 |
API Access
Fdctech Interest Expenses 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=interest-expenses&ticker=FDCT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=FDCT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();