Netcapital (NCPL) Return on Sales [ROS] (2013 - 2026)
Netcapital's Return on Sales [ROS] was -2304.61% in fiscal Q3 2026 (quarter ended Jan 31, 2026), down 1199.25 percentage points from -1105.36% a year earlier but up 1845.00 percentage points from the prior quarter.
Netcapital (NCPL) Return on Sales [ROS] (2013 - 2026) Analysis & Trends
On a trailing twelve-month basis, Netcapital's Return on Sales [ROS] was -1284.97% through Jan 31, 2026, down 308.02 percentage points year-over-year; for FY2025 (ended Apr 30, 2025), it came in at -957.07%, down 887.54 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of -1022.49 percentage points (FY2020 to FY2025).
- In earlier fiscal years, Return on Sales [ROS] was -69.52% in FY2024 (-96.27 pp), 26.75% in FY2023 (+45.56 pp), -18.81% in FY2022 (-10.31 pp) and -8.50% in FY2021 (-73.93 pp).
- Quarterly Return on Sales [ROS] has moved between -4149.61% (fiscal Q2 2026) and 43.66% (fiscal Q4 2023) over five years.
- Compared with a year earlier, Return on Sales [ROS] was higher in 1 of the last eight quarters, with an average year-over-year change of -1067.54 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was fiscal Q1 2023 (a gain of 172.62 percentage points); the worst was fiscal Q2 2026 (a drop of 2858.08 percentage points).
- Per Business Quant data, NCPL's Return on Sales [ROS] in the three fiscal quarters before Q3 2026 was -4149.61% (Q2 2026), -1728.76% (Q1 2026) and -475.95% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 99.92 Bn | 81.02 Bn | - | 66.36% |
| 2 | Bank of New York Mellon | 97.64 Bn | 37.02 Bn | - | 119.30% |
| 3 | Cme | 95.24 Bn | 95.24 Bn | - | 64.89% |
| 4 | Intercontinental Exchange | 84.98 Bn | 78.79 Bn | - | 38.52% |
| 5 | Nasdaq | 51.52 Bn | 48.95 Bn | 1.50 Bn | 28.12% |
| 6 | State Street | 47.96 Bn | 47.96 Bn | - | 83.30% |
| 7 | Interactive Brokers | 38.66 Bn | 32.12 Bn | - | 138.98% |
| 8 | Northern Trust | 30.96 Bn | 30.96 Bn | - | 191.07% |
| 9 | Cboe Global Markets | 29.00 Bn | 20.65 Bn | 731.60 Mn | 32.99% |
| 10 | Netcapital | 8.70 Mn | 8.70 Mn | 92,524.00 | -2,304.61% |
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2026 | -2,304.61% |
| Oct 31, 2025 | -4,149.61% |
| Jul 31, 2025 | -1,728.76% |
| Apr 30, 2025 | -475.95% |
| Jan 31, 2025 | -1,105.36% |
| Oct 31, 2024 | -1,291.54% |
| Jul 31, 2024 | -1,763.54% |
| Apr 30, 2024 | -443.70% |
| Jan 31, 2024 | -115.57% |
| Oct 31, 2023 | 2.56% |
| Jul 31, 2023 | -49.28% |
| Apr 30, 2023 | 43.66% |
| Jan 31, 2023 | 25.24% |
| Oct 31, 2022 | 18.84% |
| Jul 31, 2022 | 0.50% |
| Apr 30, 2022 | 27.42% |
| Jan 31, 2022 | -7.49% |
| Oct 31, 2021 | -27.10% |
| Jul 31, 2021 | -172.12% |
| Apr 30, 2021 | -63.25% |
Netcapital 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=NCPL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "NCPL", "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=NCPL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();