Fabric.AI (FABC) Gains from Sales and Divestitures (2010 - 2026)
Fabric.AI (FABC) recorded Gains from Sales and Divestitures of $218,803 in Q2 2026.
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Analysis
Fabric.AI (FABC) Gains from Sales and Divestitures (2010 - 2026) Analysis & Trends
On a TTM basis, Fabric.AI's Gains from Sales and Divestitures came in at $196,739 as of Jun 30, 2026; for FY2024, it was -$359,965.
- Across earlier years, Gains from Sales and Divestitures came in at -$40,181 in FY2023.
- The Q2 2026 figure is the lowest quarterly Gains from Sales and Divestitures since Q4 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Robinhood Markets | 101.35 Bn | 82.45 Bn | - |
| 2 | Bank of New York Mellon | 98.65 Bn | 38.02 Bn | - |
| 3 | Cme | 94.54 Bn | 94.54 Bn | - |
| 4 | Intercontinental Exchange | 84.23 Bn | 78.04 Bn | - |
| 5 | Nasdaq | 50.77 Bn | 48.20 Bn | 1.50 Bn |
| 6 | State Street | 48.31 Bn | 48.31 Bn | - |
| 7 | Interactive Brokers | 39.79 Bn | 33.24 Bn | - |
| 8 | Northern Trust | 31.37 Bn | 31.37 Bn | - |
| 9 | Cboe Global Markets | 28.34 Bn | 20.00 Bn | 731.60 Mn |
| 10 | Fabric.AI | 9.69 Mn | -39.18 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 218,803.00 |
| Dec 31, 2024 | -22,118.00 |
| Sep 30, 2019 | 54.00 |
| Mar 31, 2019 | 3,641.00 |
| Oct 31, 2015 | 837,720.00 |
| Apr 30, 2015 | 883,757.00 |
| Apr 30, 2014 | -37.00 |
| Jan 31, 2014 | 4,908.00 |
| Oct 31, 2013 | -17,401.00 |
| Jul 31, 2013 | 3,892.00 |
| Apr 30, 2013 | -69,953.00 |
| Jan 31, 2013 | -11,880.00 |
| Oct 31, 2012 | -486,212.00 |
| Jul 31, 2012 | 2.32 Mn |
| Apr 30, 2012 | -5,100.00 |
| Oct 31, 2011 | -1.04 Mn |
| Jul 31, 2011 | 14,658.00 |
| Apr 30, 2011 | -9,082.00 |
| Jan 31, 2011 | -5,337.00 |
| Oct 31, 2010 | -43,005.00 |
API Access
Fabric.AI Gains from Sales and Divestitures 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=gains-from-sales-and-divestitures&ticker=FABC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gains-from-sales-and-divestitures", "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=gains-from-sales-and-divestitures&ticker=FABC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();