Future FinTech (FTFT) Change in Taxes (2010 - 2022)
Future FinTech's Change in Taxes came in at $82,204 for Q4 2022.
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Analysis
Future FinTech (FTFT) Change in Taxes (2010 - 2022) Analysis & Trends
For FY2022, Future FinTech's Change in Taxes was $41,111.
- The Q4 2022 figure represents the highest quarterly Change in Taxes since Q4 2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Rocket Companies | 43.26 Bn | 28.94 Bn | - | - |
| 2 | Orix | 42.40 Bn | 42.90 Bn | - | - |
| 3 | Royalty Pharma | 33.56 Bn | 33.47 Bn | - | - |
| 4 | Federal National Mortgage Association Fannie Mae | 24.47 Bn | 24.47 Bn | - | - |
| 5 | Affirm Holdings | 23.34 Bn | 17.03 Bn | - | - |
| 6 | Synchrony Financial | 23.06 Bn | -44.91 Bn | - | - |
| 7 | Royal Gold | 19.98 Bn | 19.21 Bn | 390.45 Mn | 20.31 Mn |
| 8 | Annaly Capital Management | 14.18 Bn | 5.27 Bn | - | - |
| 9 | Ares Capital | 13.71 Bn | 11.15 Bn | - | - |
| 10 | Future FinTech | 1.30 Mn | -11.26 Mn | 193,832.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2022 | 82,204.00 |
| Sep 30, 2022 | 40.00 |
| Jun 30, 2018 | 1.00 |
| Mar 31, 2018 | 1,576.00 |
| Dec 31, 2017 | -2.79 Mn |
| Jun 30, 2017 | -58,639.00 |
| Mar 31, 2017 | -737,480.00 |
| Dec 31, 2016 | 2.07 Mn |
| Sep 30, 2016 | 12,271.00 |
| Jun 30, 2016 | 2.33 Mn |
| Mar 31, 2016 | -3.47 Mn |
| Dec 31, 2015 | 3.51 Mn |
| Sep 30, 2015 | -197,340.00 |
| Jun 30, 2015 | -505,771.00 |
| Mar 31, 2015 | -710,828.00 |
| Dec 31, 2014 | 323,700.00 |
| Sep 30, 2014 | 570,743.00 |
| Jun 30, 2014 | 105,662.00 |
| Mar 31, 2014 | -1.28 Mn |
| Dec 31, 2013 | 576,037.00 |
API Access
Future FinTech Change in Taxes 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=change-in-taxes&ticker=FTFT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-taxes", "ticker": "FTFT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=change-in-taxes&ticker=FTFT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();