Fdctech (FDCT) Exchange Rate Effect (2024 - 2026)
Fdctech (FDCT) reported Exchange Rate Effect of -$110,212 for Q1 2026, compared with $193,407 a year earlier.
Fdctech (FDCT) Exchange Rate Effect (2024 - 2026) Analysis & Trends
Over the twelve months ended Mar 31, 2026, Fdctech's Exchange Rate Effect came in at $65,419, down 52.6% year-over-year; for FY2025, it was $369,038.
- By year, Exchange Rate Effect came in at -$298,009 in FY2024.
- Five-year quarterly Exchange Rate Effect spans a low of -$242,516 in Q1 2024 and a high of $272,454 in Q4 2025.
- Per Business Quant data, the three quarters before Q1 2026 came in at $272,454 (Q4 2025), -$240,851 (Q3 2025) and $144,028 (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 106.56 Bn | 94.66 Bn | - | - |
| 2 | Intercontinental Exchange | 89.45 Bn | 83.19 Bn | - | -4.00 Mn |
| 3 | Robinhood Markets | 88.18 Bn | 69.22 Bn | - | -3.00 Mn |
| 4 | Nasdaq | 53.47 Bn | 50.90 Bn | 1.50 Bn | -18.00 Mn |
| 5 | Interactive Brokers | 37.14 Bn | 14.26 Bn | - | -57.00 Mn |
| 6 | Cboe Global Markets | 33.00 Bn | 24.66 Bn | 731.60 Mn | 32.20 Mn |
| 7 | LPL Financial Holdings | 25.71 Bn | 21.03 Bn | - | - |
| 8 | Tradeweb Markets | 25.33 Bn | 17.34 Bn | - | -441,000.00 |
| 9 | Circle Internet | 21.30 Bn | 15.18 Bn | 288.85 Mn | -1.90 Mn |
| 10 | Fdctech | 16.88 Mn | -48.41 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -110,212.00 |
| Dec 31, 2025 | 272,454.00 |
| Sep 30, 2025 | -240,851.00 |
| Jun 30, 2025 | 144,028.00 |
| Mar 31, 2025 | 193,407.00 |
| Dec 31, 2024 | -212,373.00 |
| Sep 30, 2024 | 159,304.00 |
| Jun 30, 2024 | -2,424.00 |
| Mar 31, 2024 | -242,516.00 |
Fdctech Exchange Rate Effect 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=exchange-rate-effect&ticker=FDCT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=FDCT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();