Fabric.AI (FABC) Times Interest Earned (2010 - 2021)
Fabric.AI's (FABC) Times Interest Earned came in at -14329.10 for FY2021, compared with -30.89 in FY2020.
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Analysis
Fabric.AI (FABC) Times Interest Earned (2010 - 2021) Analysis & Trends
Since FY2011, Fabric.AI has reported Times Interest Earned for 10 years.
- The FY2021 figure stands as the lowest annual Times Interest Earned in data going back to FY2011.
- Business Quant data shows FABC's Times Interest Earned at -30.89 in FY2020, -49.25 in FY2019 and -384.31 in FY2017.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Times Interest Earned (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 101.14 Bn | 82.23 Bn | - | 5.46 |
| 2 | Bank of New York Mellon | 98.14 Bn | 37.51 Bn | - | 1.50 |
| 3 | Cme | 94.12 Bn | 94.12 Bn | - | 25.39 |
| 4 | Intercontinental Exchange | 85.35 Bn | 79.16 Bn | - | 6.79 |
| 5 | Nasdaq | 51.71 Bn | 49.14 Bn | 1.50 Bn | 8.28 |
| 6 | State Street | 47.94 Bn | 47.94 Bn | - | 1.70 |
| 7 | Interactive Brokers | 38.49 Bn | 31.95 Bn | - | 2.23 |
| 8 | Northern Trust | 30.99 Bn | 30.99 Bn | - | 1.70 |
| 9 | Cboe Global Markets | 28.76 Bn | 20.41 Bn | 731.60 Mn | 36.06 |
| 10 | Fabric.AI | 9.44 Mn | -39.43 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2021 | -6,851.96 |
| Mar 31, 2021 | -6,630.91 |
| Dec 31, 2020 | -1,968.96 |
| Sep 30, 2020 | -25.02 |
| Jun 30, 2020 | -8.53 |
| Mar 31, 2020 | -16.00 |
| Dec 31, 2019 | -57.94 |
| Sep 30, 2019 | -31.92 |
| Jun 30, 2019 | -23.86 |
| Mar 31, 2018 | -3.43 |
| Apr 30, 2017 | -762.35 |
| Jan 31, 2017 | -194.62 |
| Oct 31, 2016 | -550.86 |
| Jul 31, 2016 | -299.20 |
| Apr 30, 2016 | -730.06 |
| Jan 31, 2016 | -1,573.26 |
| Oct 31, 2015 | -3,366.37 |
| Jul 31, 2015 | -348.62 |
| Apr 30, 2015 | -516.87 |
| Jan 31, 2015 | -1,253.89 |
API Access
Fabric.AI Times Interest Earned 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=times-interest-earned&ticker=FABC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "times-interest-earned", "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=times-interest-earned&ticker=FABC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();