Fabric.AI (FABC) Goodwill & Intangibles (2011 - 2026)
Fabric.AI (FABC) reported Goodwill & Intangibles of $17.24 million for Q2 2026.
Analysis
Fabric.AI (FABC) Goodwill & Intangibles (2011 - 2026) Analysis & Trends
At the end of FY2025, Fabric.AI posted Goodwill & Intangibles of $1.95 million.
- Goodwill & Intangibles has a five-year compound annual growth rate of 68.4% (FY2020 to FY2025).
- By year, Goodwill & Intangibles came in at $88,322 in FY2021 (-38.6%).
- The Q2 2026 figure ranks as the highest quarterly Goodwill & Intangibles in data going back to Q1 2018.
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 | 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 | 5.09 Mn |
| Jun 30, 2018 | 5.14 Mn |
| Mar 31, 2018 | 5.18 Mn |
| Jul 31, 2013 | 187,937.00 |
| Apr 30, 2013 | 16,228.00 |
| Jan 31, 2013 | 2.23 Mn |
API Access
Fabric.AI Goodwill & 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=goodwill-and-intangibles&ticker=FABC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-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=goodwill-and-intangibles&ticker=FABC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();