Fdctech (FDCT) Shares Outstanding (2017 - 2026)
Fdctech's Shares Outstanding was 4.23 million in Q2 2026, down 99.0% from 422.58 million a year earlier and down 99.0% from the prior quarter.
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Analysis
Fdctech (FDCT) Shares Outstanding (2017 - 2026) Analysis & Trends
For FY2025, Shares Outstanding at Fdctech came in at 423.08 million, up 8.5% from FY2024.
- Shares Outstanding has now increased for eight consecutive years, with a five-year compound annual growth rate of 43.6% (FY2020 to FY2025).
- In earlier years, Shares Outstanding was 389.88 million in FY2024 (+18.3%), 329.49 million in FY2023 (+108.5%), 158.05 million in FY2022 (+83.6%) and 86.06 million in FY2021 (+24.2%).
- The Q2 2026 figure marks the lowest quarterly Shares Outstanding in data going back to Q2 2017.
- Compared with a year earlier, Shares Outstanding was higher in seven of the last eight quarters, with an average decline of 3.7%.
- The best year-over-year quarter for Shares Outstanding over five years was Q2 2023 (growth of 125.4%); the worst was Q2 2026 (a decline of 99.0%).
- Per Business Quant data, FDCT's Shares Outstanding in the three quarters before Q2 2026 was 423.08 million (Q1 2026), 423.08 million (Q4 2025) and 422.58 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 107.10 Bn | 95.20 Bn | - | 360.68 Mn |
| 2 | Robinhood Markets | 89.25 Bn | 70.28 Bn | - | 899.00 Mn |
| 3 | Intercontinental Exchange | 89.11 Bn | 82.84 Bn | - | 564.00 Mn |
| 4 | Nasdaq | 53.35 Bn | 50.78 Bn | 1.50 Bn | 564.16 Mn |
| 5 | Interactive Brokers | 37.00 Bn | 14.11 Bn | - | 447.90 Mn |
| 6 | Cboe Global Markets | 32.87 Bn | 24.53 Bn | 731.60 Mn | 104.70 Mn |
| 7 | LPL Financial Holdings | 25.68 Bn | 21.00 Bn | - | 79.79 Mn |
| 8 | Tradeweb Markets | 25.02 Bn | 17.03 Bn | - | 212.46 Mn |
| 9 | Circle Internet | 21.12 Bn | 15.00 Bn | 288.85 Mn | 248.18 Mn |
| 10 | Fdctech | 16.88 Mn | -48.41 Mn | - | 4.23 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.23 Mn |
| Mar 31, 2026 | 423.08 Mn |
| Dec 31, 2025 | 423.08 Mn |
| Sep 30, 2025 | 422.58 Mn |
| Jun 30, 2025 | 422.58 Mn |
| Mar 31, 2025 | 422.23 Mn |
| Dec 31, 2024 | 389.88 Mn |
| Sep 30, 2024 | 390.58 Mn |
| Jun 30, 2024 | 389.74 Mn |
| Mar 31, 2024 | 388.58 Mn |
| Dec 31, 2023 | 329.49 Mn |
| Sep 30, 2023 | 333.58 Mn |
| Jun 30, 2023 | 333.58 Mn |
| Mar 31, 2023 | 299.21 Mn |
| Dec 31, 2022 | 158.05 Mn |
| Sep 30, 2022 | 159.56 Mn |
| Jun 30, 2022 | 148.03 Mn |
| Mar 31, 2022 | 146.70 Mn |
| Dec 31, 2021 | 86.06 Mn |
| Sep 30, 2021 | 88.42 Mn |
API Access
Fdctech Shares Outstanding 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=shares-outstanding&ticker=FDCT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=FDCT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();