Fdctech (FDCT) Return on Sales [ROS] (2017 - 2026)
Fdctech (FDCT) posted Return on Sales [ROS] of 45.08% for Q1 2026, up 38.26 percentage points from 6.82% a year earlier and up 15.76 percentage points from the prior quarter.
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Analysis
Fdctech (FDCT) Return on Sales [ROS] (2017 - 2026) Analysis & Trends
For the trailing twelve months through Mar 31, 2026, Return on Sales [ROS] at Fdctech was 28.32%, up 29.29 percentage points year-over-year; for FY2025, it was 17.36%, up 19.71 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of +202.45 percentage points (FY2020 to FY2025).
- In prior years, Fdctech's Return on Sales [ROS] was -2.36% in FY2024 (-14.72 pp), 12.37% in FY2023 (+27.72 pp), -15.35% in FY2022 (+363.54 pp) and -378.90% in FY2021 (-193.80 pp).
- The Q1 2026 figure stands as the highest quarterly Return on Sales [ROS] in data going back to Q2 2017.
- On a year-over-year basis, Return on Sales [ROS] has increased in each of the last five quarters, with an average year-over-year change of +6.20 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q3 2022, with a gain of 646.05 percentage points; the weakest was Q3 2021, with a drop of 572.09 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 29.32% (Q4 2025), 10.87% (Q3 2025) and -3.07% (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 109.27 Bn | 97.61 Bn | - | 65.70% |
| 2 | Bank of New York Mellon | 98.55 Bn | 37.92 Bn | - | 119.30% |
| 3 | Intercontinental Exchange | 91.26 Bn | 85.07 Bn | - | 38.52% |
| 4 | Robinhood Markets | 85.47 Bn | 66.56 Bn | - | 66.36% |
| 5 | Nasdaq | 57.27 Bn | 54.71 Bn | 1.48 Bn | 30.59% |
| 6 | State Street | 46.11 Bn | 46.11 Bn | - | 83.30% |
| 7 | Interactive Brokers | 36.17 Bn | 29.63 Bn | - | 138.98% |
| 8 | Cboe Global Markets | 35.59 Bn | 27.25 Bn | 731.60 Mn | 32.99% |
| 9 | Northern Trust | 30.73 Bn | 30.73 Bn | - | 191.07% |
| 10 | Fdctech | 18.49 Mn | -46.80 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 45.08% |
| Dec 31, 2025 | 29.32% |
| Sep 30, 2025 | 10.87% |
| Jun 30, 2025 | -3.07% |
| Mar 31, 2025 | 6.82% |
| Dec 31, 2024 | 10.10% |
| Sep 30, 2024 | -8.41% |
| Jun 30, 2024 | -17.49% |
| Mar 31, 2024 | 0.45% |
| Dec 31, 2023 | 21.14% |
| Sep 30, 2023 | 18.94% |
| Jun 30, 2023 | -7.96% |
| Mar 31, 2023 | -13.99% |
| Dec 31, 2022 | -1.68% |
| Sep 30, 2022 | -12.80% |
| Jun 30, 2022 | -24.31% |
| Mar 31, 2022 | -25.49% |
| Dec 31, 2021 | -322.23% |
| Sep 30, 2021 | -658.85% |
| Jun 30, 2021 | -317.55% |
API Access
Fdctech Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=FDCT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=FDCT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();