Fdctech (FDCT) Cost of Revenue (2017 - 2026)
Fdctech (FDCT) recorded Cost of Revenue of $3.58 million in Q1 2026, up 14.9% from $3.12 million a year earlier but down 54.9% from the prior quarter.
Fdctech (FDCT) Cost of Revenue (2017 - 2026) Analysis & Trends
On a TTM basis, Fdctech's Cost of Revenue came in at $16.28 million as of Mar 31, 2026, up 16.4% year-over-year; for FY2025, it came in at $15.82 million, up 6.1% from FY2024.
- Annual Cost of Revenue has increased for three straight years, with a five-year compound annual growth rate of 128.8% (FY2020 to FY2025).
- Across earlier years, Cost of Revenue came in at $14.9 million in FY2024 (+129.0%), $6.51 million in FY2023 (+19.7%), $5.43 million in FY2022 and $419,884 in FY2021 (+66.6%).
- Quarterly Cost of Revenue has ranged from $68,616 in Q2 2021 to $7.95 million in Q4 2025 over the past five years.
- On a year-over-year basis, Cost of Revenue rose in five of the last eight quarters, with growth averaging 46.5%.
- Peak year-over-year performance for Cost of Revenue in the last five years was growth of 534.1% in Q4 2022, against a decline of 45.7% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $7.95 million (Q4 2025), $1.64 million (Q3 2025) and $3.11 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 109.27 Bn | 97.61 Bn | - | - |
| 2 | Bank of New York Mellon | 98.55 Bn | 37.92 Bn | - | - |
| 3 | Intercontinental Exchange | 91.26 Bn | 85.07 Bn | - | - |
| 4 | Robinhood Markets | 85.47 Bn | 66.56 Bn | - | - |
| 5 | Nasdaq | 57.27 Bn | 54.71 Bn | 1.48 Bn | 912.00 Mn |
| 6 | State Street | 46.11 Bn | 46.11 Bn | - | - |
| 7 | Interactive Brokers | 36.17 Bn | 29.63 Bn | - | - |
| 8 | Cboe Global Markets | 35.59 Bn | 27.25 Bn | 731.60 Mn | 711.20 Mn |
| 9 | Northern Trust | 30.73 Bn | 30.73 Bn | - | - |
| 10 | Fdctech | 18.49 Mn | -46.80 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 3.58 Mn |
| Dec 31, 2025 | 7.95 Mn |
| Sep 30, 2025 | 1.64 Mn |
| Jun 30, 2025 | 3.11 Mn |
| Mar 31, 2025 | 3.12 Mn |
| Dec 31, 2024 | 3.96 Mn |
| Sep 30, 2024 | 3.01 Mn |
| Jun 30, 2024 | 3.90 Mn |
| Mar 31, 2024 | 4.03 Mn |
| Dec 31, 2023 | 2.19 Mn |
| Sep 30, 2023 | 1.72 Mn |
| Jun 30, 2023 | 1.35 Mn |
| Mar 31, 2023 | 1.25 Mn |
| Dec 31, 2022 | 1.36 Mn |
| Sep 30, 2022 | 1.33 Mn |
| Jun 30, 2022 | 1.37 Mn |
| Mar 31, 2022 | 1.38 Mn |
| Dec 31, 2021 | 214,037.00 |
| Sep 30, 2021 | 68,616.00 |
| Jun 30, 2021 | 68,616.00 |
Fdctech Cost of Revenue 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=cost-of-revenue&ticker=FDCT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=FDCT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();