Fabric.AI (FABC) Shares Outstanding (Diluted) (2010 - 2026)
Fabric.AI's Shares Outstanding (Diluted) came in at 4.14 million for Q2 2026, up 645.9% from 554,989 a year earlier and up 184.3% from the prior quarter.
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Analysis
Fabric.AI (FABC) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
For FY2025, Fabric.AI's Shares Outstanding (Diluted) was 875,190, down 85.8% from FY2024.
- Shares Outstanding (Diluted) carries a five-year compound annual growth rate of -26.7% (FY2020 to FY2025).
- Going back by year, Shares Outstanding (Diluted) was 6.17 million in FY2024 (+29.5%), 4.76 million in FY2023 (+2.9%), 4.63 million in FY2022 (+12.1%) and 4.13 million in FY2021 (unchanged).
- The Q2 2026 figure represents the highest quarterly Shares Outstanding (Diluted) since Q1 2025.
- Year-over-year, Shares Outstanding (Diluted) increased in four of the last eight quarters, with growth averaging 55.2%.
- The fastest year-over-year change in Shares Outstanding (Diluted) over five years came in Q2 2022 (growth of 795.0%), and the weakest in Q2 2025 (a decline of 96.7%).
- Business Quant data shows FABC's Shares Outstanding (Diluted) at 1.46 million (Q1 2026), 875,190 (Q4 2025) and 946,139 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 101.14 Bn | 82.23 Bn | - | 912.00 Mn |
| 2 | Bank of New York Mellon | 98.14 Bn | 37.51 Bn | - | 692.22 Mn |
| 3 | Cme | 94.12 Bn | 94.12 Bn | - | 361.28 Mn |
| 4 | Intercontinental Exchange | 85.35 Bn | 79.16 Bn | - | 566.00 Mn |
| 5 | Nasdaq | 51.71 Bn | 49.14 Bn | 1.50 Bn | 567.75 Mn |
| 6 | State Street | 47.94 Bn | 47.94 Bn | - | 281.06 Mn |
| 7 | Interactive Brokers | 38.49 Bn | 31.95 Bn | - | 450.09 Mn |
| 8 | Northern Trust | 30.99 Bn | 30.99 Bn | - | 184.89 Mn |
| 9 | Cboe Global Markets | 28.76 Bn | 20.41 Bn | 731.60 Mn | 104.90 Mn |
| 10 | Fabric.AI | 9.44 Mn | -39.43 Mn | - | 4.14 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.14 Mn |
| Mar 31, 2026 | 1.46 Mn |
| Dec 31, 2025 | 875,190.00 |
| Sep 30, 2025 | 946,139.00 |
| Jun 30, 2025 | 554,989.00 |
| Mar 31, 2025 | 8.54 Mn |
| Dec 31, 2024 | 6.17 Mn |
| Sep 30, 2024 | 6.86 Mn |
| Jun 30, 2024 | 16.64 Mn |
| Mar 31, 2024 | 4.93 Mn |
| Dec 31, 2023 | 4.76 Mn |
| Sep 30, 2023 | 4.74 Mn |
| Jun 30, 2023 | 4.68 Mn |
| Mar 31, 2023 | 4.66 Mn |
| Dec 31, 2022 | 4.63 Mn |
| Sep 30, 2022 | 4.64 Mn |
| Jun 30, 2022 | 36.98 Mn |
| Mar 31, 2022 | 4.13 Mn |
| Dec 31, 2021 | 4.13 Mn |
| Sep 30, 2021 | 4.13 Mn |
API Access
Fabric.AI Shares Outstanding (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=shares-outstanding-diluted&ticker=FABC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-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=shares-outstanding-diluted&ticker=FABC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();