Fabric.AI (FABC) Interest Expenses (2010 - 2021)
Fabric.AI's Interest Expenses was $2,312 in FY2021, down 99.3% from $327,196 in FY2020.
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Analysis
Fabric.AI (FABC) Interest Expenses (2010 - 2021) Analysis & Trends
From FY2011 onward, Fabric.AI has reported Interest Expenses for 10 years.
- Interest Expenses shows a five-year compound annual growth rate of -6.3% (FY2016 to FY2021).
- The FY2021 figure marks the lowest annual Interest Expenses in data going back to FY2011.
- Per Business Quant data, Interest Expenses in earlier years was $327,196 in FY2020 (+89.7%), $172,479 in FY2019 and $6,621 in FY2017 (+107.2%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 101.14 Bn | 82.23 Bn | - | 159.00 Mn |
| 2 | Bank of New York Mellon | 98.14 Bn | 37.51 Bn | - | 4.49 Bn |
| 3 | Cme | 94.12 Bn | 94.12 Bn | - | 43.60 Mn |
| 4 | Intercontinental Exchange | 85.35 Bn | 79.16 Bn | - | 205.00 Mn |
| 5 | Nasdaq | 51.71 Bn | 49.14 Bn | 1.50 Bn | 86.00 Mn |
| 6 | State Street | 47.94 Bn | 47.94 Bn | - | 1.98 Bn |
| 7 | Interactive Brokers | 38.49 Bn | 31.95 Bn | - | 1.18 Bn |
| 8 | Northern Trust | 30.99 Bn | 30.99 Bn | - | 1.51 Bn |
| 9 | Cboe Global Markets | 28.76 Bn | 20.41 Bn | 731.60 Mn | 13.20 Mn |
| 10 | Fabric.AI | 9.44 Mn | -39.43 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2021 | 1,121.00 |
| Mar 31, 2021 | 851.00 |
| Dec 31, 2020 | 2,526.00 |
| Sep 30, 2020 | 95,469.00 |
| Jun 30, 2020 | 123,576.00 |
| Mar 31, 2020 | 105,625.00 |
| Dec 31, 2019 | -60,605.00 |
| Sep 30, 2019 | 65,103.00 |
| Jun 30, 2019 | 72,796.00 |
| Mar 31, 2018 | 1.08 Mn |
| Apr 30, 2017 | 1,181.00 |
| Jan 31, 2017 | 2,430.00 |
| Oct 31, 2016 | 1,029.00 |
| Jul 31, 2016 | 1,981.00 |
| Apr 30, 2016 | 1,175.00 |
| Jan 31, 2016 | 523.00 |
| Oct 31, 2015 | 606.00 |
| Jul 31, 2015 | 892.00 |
| Apr 30, 2015 | 887.00 |
| Jan 31, 2015 | 380.00 |
API Access
Fabric.AI Interest Expenses 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=interest-expenses&ticker=FABC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=FABC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();