Netcapital (NCPL) EPS (Diluted) (2015 - 2026)
Netcapital (NCPL) recorded EPS (Diluted) of -$0.32 in fiscal Q3 2026 (quarter ended Jan 31, 2026), compared with -$1.57 a year earlier.
Netcapital (NCPL) EPS (Diluted) (2015 - 2026) Analysis & Trends
On a TTM basis, Netcapital's EPS (Diluted) came in at -$5.01 as of Jan 31, 2026; for FY2025 (ended Apr 30, 2025), it was -$20.39.
- Across earlier fiscal years, EPS (Diluted) came in at -$0.41 in FY2024, $0.63 in FY2023 (-50.4%), $1.27 in FY2022 (+42.9%) and $0.89 in FY2021 (-40.7%).
- The fiscal Q3 2026 figure is the highest quarterly EPS (Diluted) since fiscal Q4 2024.
- Per Business Quant, the preceding three fiscal quarters came in at -$0.44 (Q2 2026), -$1.27 (Q1 2026) and -$14.81 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 104.70 Bn | 85.79 Bn | - | 0.62 |
| 2 | Bank of New York Mellon | 100.72 Bn | 40.09 Bn | - | 2.45 |
| 3 | Cme | 94.58 Bn | 94.58 Bn | - | 2.88 |
| 4 | Intercontinental Exchange | 85.83 Bn | 79.63 Bn | - | 1.69 |
| 5 | Nasdaq | 52.05 Bn | 49.49 Bn | 1.50 Bn | 0.89 |
| 6 | State Street | 49.39 Bn | 49.39 Bn | - | 3.65 |
| 7 | Interactive Brokers | 39.24 Bn | 32.69 Bn | - | 0.69 |
| 8 | Northern Trust | 31.94 Bn | 31.94 Bn | - | 4.26 |
| 9 | Cboe Global Markets | 26.47 Bn | 18.13 Bn | 731.60 Mn | 3.35 |
| 10 | Netcapital | 6.06 Mn | 6.06 Mn | 92,524.00 | -0.32 |
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2026 | -0.32 |
| Oct 31, 2025 | -0.44 |
| Jul 31, 2025 | -1.27 |
| Apr 30, 2025 | -14.81 |
| Jan 31, 2025 | -1.57 |
| Oct 31, 2024 | -2.34 |
| Jul 31, 2024 | -5.10 |
| Apr 30, 2024 | -0.22 |
| Jan 31, 2024 | -0.19 |
| Oct 31, 2023 | 0.04 |
| Jul 31, 2023 | -0.07 |
| Apr 30, 2023 | 0.22 |
| Jan 31, 2023 | 0.33 |
| Oct 31, 2022 | 0.04 |
| Jul 31, 2022 | 0.02 |
| Apr 30, 2022 | 0.18 |
| Jan 31, 2022 | 0.63 |
| Oct 31, 2021 | -0.10 |
| Jul 31, 2021 | 0.65 |
| Apr 30, 2021 | 0.83 |
Netcapital EPS (Diluted) 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=eps-diluted&ticker=NCPL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=NCPL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();