Fabric.AI (FABC) Intangibles (2011 - 2026)
Fabric.AI (FABC) recorded Intangibles of $17.24 million in Q2 2026.
Analysis
Fabric.AI (FABC) Intangibles (2011 - 2026) Analysis & Trends
At the end of FY2025, Fabric.AI reported Intangibles of $1.95 million.
- Annual Intangibles has a five-year compound annual growth rate of 68.4% (FY2020 to FY2025).
- Across earlier years, Intangibles came in at $88,322 in FY2021 (-38.6%).
- The Q2 2026 figure is the highest quarterly Intangibles in data going back to Q1 2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 101.14 Bn | 82.23 Bn | - | 246.00 Mn |
| 2 | Bank of New York Mellon | 98.14 Bn | 37.51 Bn | - | 2.80 Bn |
| 3 | Cme | 94.12 Bn | 94.12 Bn | - | 2.49 Bn |
| 4 | Intercontinental Exchange | 85.35 Bn | 79.16 Bn | - | 14.87 Bn |
| 5 | Nasdaq | 51.71 Bn | 49.14 Bn | 1.50 Bn | 6.22 Bn |
| 6 | State Street | 47.94 Bn | 47.94 Bn | - | - |
| 7 | Interactive Brokers | 38.49 Bn | 31.95 Bn | - | - |
| 8 | Northern Trust | 30.99 Bn | 30.99 Bn | - | - |
| 9 | Cboe Global Markets | 28.76 Bn | 20.41 Bn | 731.60 Mn | 1.18 Bn |
| 10 | Fabric.AI | 9.44 Mn | -39.43 Mn | - | 17.24 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.24 Mn |
| Mar 31, 2026 | 1.34 Mn |
| Dec 31, 2025 | 1.95 Mn |
| Sep 30, 2022 | 99,023.00 |
| Jun 30, 2022 | 79,210.00 |
| Mar 31, 2022 | 82,281.00 |
| Dec 31, 2021 | 88,322.00 |
| Sep 30, 2021 | 109,110.00 |
| Jun 30, 2021 | 137,334.00 |
| Mar 31, 2021 | 130,844.00 |
| Dec 31, 2020 | 143,845.00 |
| Sep 30, 2020 | 170,199.00 |
| Jun 30, 2020 | 195,793.00 |
| Dec 31, 2019 | 244,125.00 |
| Sep 30, 2018 | 1.68 Mn |
| Jun 30, 2018 | 1.73 Mn |
| Mar 31, 2018 | 1.77 Mn |
| Jul 31, 2013 | 187,937.00 |
| Apr 30, 2013 | 16,228.00 |
| Jan 31, 2013 | 285,073.00 |
API Access
Fabric.AI Intangibles 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=intangibles&ticker=FABC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=FABC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();