Troops (TROO) Exchange Rate Effect (2009 - 2013)
Troops (TROO) posted Exchange Rate Effect of -$1 million for FY2025, compared with -$3,000 in FY2024.
Analysis
Troops (TROO) Exchange Rate Effect (2009 - 2013) Analysis & Trends
Since FY2009, Troops has reported Exchange Rate Effect for 13 years.
- Annual Exchange Rate Effect has run from a low of -$1 million in FY2023 to a high of -$3,000 in FY2024 over five years.
- Business Quant data shows TROO's Exchange Rate Effect at -$3,000 in FY2024, -$1 million in FY2023, -$6,000 in FY2022 and -$4,000 in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Rocket Companies | 40.96 Bn | 29.78 Bn | - | -9.00 Mn |
| 2 | Orix | 36.82 Bn | 3.63 Bn | - | - |
| 3 | Royalty Pharma | 30.51 Bn | 27.88 Bn | - | - |
| 4 | Federal National Mortgage Association Fannie Mae | 26.64 Bn | 26.64 Bn | - | - |
| 5 | Royal Gold | 23.60 Bn | 22.77 Bn | 390.45 Mn | - |
| 6 | Synchrony Financial | 23.18 Bn | -44.45 Bn | - | - |
| 7 | Affirm Holdings | 23.17 Bn | 16.22 Bn | - | 829,000.00 |
| 8 | Annaly Capital Management | 14.38 Bn | 5.33 Bn | - | - |
| 9 | Ares Capital | 13.91 Bn | 11.66 Bn | - | - |
| 10 | Troops | 253.49 Mn | 238.24 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2013 | 297,000.00 |
| Sep 30, 2013 | -137,000.00 |
| Jun 30, 2013 | 172,000.00 |
| Mar 31, 2013 | 36,000.00 |
| Dec 31, 2012 | 66,000.00 |
| Sep 30, 2012 | -89,000.00 |
| Jun 30, 2012 | 158,000.00 |
| Mar 31, 2012 | -93,000.00 |
| Dec 31, 2011 | -2.05 Mn |
| Sep 30, 2011 | 2.29 Mn |
| Jun 30, 2011 | 683,554.00 |
| Mar 31, 2011 | 74,841.00 |
| Dec 31, 2010 | 276,150.00 |
| Sep 30, 2010 | 208,091.00 |
| Jun 30, 2010 | 17,409.00 |
| Mar 31, 2010 | -4,650.00 |
| Dec 31, 2009 | 5,594.00 |
| Sep 30, 2009 | 214,508.00 |
| Jun 30, 2009 | -93,114.00 |
| Mar 31, 2009 | -145,136.00 |
API Access
Troops Exchange Rate Effect 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=exchange-rate-effect&ticker=TROO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=TROO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();