Troops (TROO) Interest Expenses (2009 - 2013)
Troops' Interest Expenses came in at -$62,000 for FY2023, compared with -$59,000 in FY2022.
Analysis
Troops (TROO) Interest Expenses (2009 - 2013) Analysis & Trends
Going back to FY2009, Troops' Interest Expenses data covers 14 years.
- The FY2023 figure represents the lowest annual Interest Expenses since FY2020.
- Per Business Quant, earlier years put Interest Expenses at -$59,000 in FY2022, $103,000 in FY2021 and -$1.02 million in FY2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Rocket Companies | 40.96 Bn | 29.78 Bn | - | 359.00 Mn |
| 2 | Orix | 36.82 Bn | 3.63 Bn | - | - |
| 3 | Royalty Pharma | 30.51 Bn | 27.88 Bn | - | 90.49 Mn |
| 4 | Federal National Mortgage Association Fannie Mae | 26.64 Bn | 26.64 Bn | - | 34.06 Bn |
| 5 | Royal Gold | 23.60 Bn | 22.77 Bn | 390.45 Mn | 10.01 Mn |
| 6 | Synchrony Financial | 23.18 Bn | -44.45 Bn | - | 979.00 Mn |
| 7 | Affirm Holdings | 23.17 Bn | 16.22 Bn | - | 134.37 Mn |
| 8 | Annaly Capital Management | 14.38 Bn | 5.33 Bn | - | 1.43 Bn |
| 9 | Ares Capital | 13.91 Bn | 11.66 Bn | - | 221.00 Mn |
| 10 | Troops | 253.49 Mn | 238.24 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2013 | -104,000.00 |
| Sep 30, 2013 | -63,000.00 |
| Jun 30, 2013 | -58,000.00 |
| Mar 31, 2013 | -35,000.00 |
| Dec 31, 2012 | -9,000.00 |
| Sep 30, 2012 | -12,000.00 |
| Jun 30, 2012 | -24,000.00 |
| Mar 31, 2012 | -15,000.00 |
| Dec 31, 2011 | 3.58 Mn |
| Sep 30, 2011 | -564,121.00 |
| Jun 30, 2011 | -536,898.00 |
| Mar 31, 2011 | -396,151.00 |
| Dec 31, 2010 | 1.94 Mn |
| Sep 30, 2010 | -267,799.00 |
| Jun 30, 2010 | -127,872.00 |
| Mar 31, 2010 | -264,648.00 |
| Dec 31, 2009 | 1.42 Mn |
| Sep 30, 2009 | -218,490.00 |
| Jun 30, 2009 | -205,330.00 |
| Mar 31, 2009 | -152,558.00 |
API Access
Troops 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=TROO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "TROO", "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=TROO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();