Travere Therapeutics (TVTX) Change in Taxes (2015 - 2022)
Travere Therapeutics' Change in Taxes came in at -$849,000 for FY2025, compared with $41,000 in FY2024.
Analysis
Travere Therapeutics (TVTX) Change in Taxes (2015 - 2022) Analysis & Trends
Going back to FY2015, Travere Therapeutics' Change in Taxes data covers 11 years.
- The FY2025 figure represents the lowest annual Change in Taxes since FY2021.
- Per Business Quant, earlier years put Change in Taxes at $41,000 in FY2024 (+17.1%), $35,000 in FY2023 (-90.6%), $374,000 in FY2022 and -$17.1 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | - |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | -2.22 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | -1.53 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | -131.00 Mn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 171.00 Mn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | - |
| 10 | Travere Therapeutics | 5.36 Bn | 4.96 Bn | 167.41 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2022 | -22,000.00 |
| Sep 30, 2022 | 264,000.00 |
| Dec 31, 2021 | -93,000.00 |
| Sep 30, 2021 | 5,000.00 |
| Jun 30, 2021 | -16.77 Mn |
| Mar 31, 2021 | -238,000.00 |
| Dec 31, 2020 | 3.53 Mn |
| Sep 30, 2020 | -6.49 Mn |
| Jun 30, 2020 | -74,000.00 |
| Mar 31, 2020 | 18.79 Mn |
| Dec 31, 2019 | -555,000.00 |
| Jun 30, 2019 | 304,000.00 |
| Mar 31, 2019 | -304,000.00 |
| Mar 31, 2017 | -181,000.00 |
| Dec 31, 2016 | -8.52 Mn |
| Dec 31, 2015 | -1.52 Mn |
API Access
Travere Therapeutics 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=TVTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-taxes", "ticker": "TVTX", "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=TVTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();