Fabric.AI (FABC) EPS (Diluted) (2010 - 2026)
Fabric.AI's EPS (Diluted) was -$3.52 in Q2 2026, compared with -$29.87 a year earlier.
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Analysis
Fabric.AI (FABC) EPS (Diluted) (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Fabric.AI's EPS (Diluted) was -$6.78 through Jun 30, 2026; for FY2025, it came in at -$32.24.
- In earlier years, EPS (Diluted) was -$2.02 in FY2024, -$8.19 in FY2023, -$4.95 in FY2022 and -$8.01 in FY2021.
- Quarterly EPS (Diluted) has moved between -$29.87 (Q2 2025) and $0.26 (Q2 2024) over five years.
- Per Business Quant data, FABC's EPS (Diluted) in the three quarters before Q2 2026 was -$2.42 (Q1 2026), -$7.24 (Q4 2025) and -$3.84 (Q3 2025).
Peer Set
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 | Fabric.AI | 9.77 Mn | -39.10 Mn | - | -3.52 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -3.52 |
| Mar 31, 2026 | -2.42 |
| Dec 31, 2025 | -7.24 |
| Sep 30, 2025 | -3.84 |
| Jun 30, 2025 | -29.87 |
| Mar 31, 2025 | -0.20 |
| Dec 31, 2024 | -1.28 |
| Sep 30, 2024 | -0.25 |
| Jun 30, 2024 | 0.26 |
| Mar 31, 2024 | -1.46 |
| Dec 31, 2023 | -2.80 |
| Sep 30, 2023 | -2.99 |
| Jun 30, 2023 | -1.28 |
| Mar 31, 2023 | -1.17 |
| Dec 31, 2022 | -1.45 |
| Sep 30, 2022 | -1.23 |
| Jun 30, 2022 | -0.16 |
| Mar 31, 2022 | -1.11 |
| Dec 31, 2021 | -1.88 |
| Sep 30, 2021 | -2.90 |
API Access
Fabric.AI 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=FABC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "ticker": "FABC", "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=FABC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();