Travere Therapeutics (TVTX) Non Operating Interest Expenses (2010 - 2026)
Travere Therapeutics' Non Operating Interest Expenses came in at $2.14 million for Q3 2026, down 23.6% from $2.8 million a year earlier but up 0.3% from the prior quarter.
Travere Therapeutics (TVTX) Non Operating Interest Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Travere Therapeutics reported Non Operating Interest Expenses of $8.82 million, down 22.2% year-over-year; for FY2025, it came in at $10.75 million, down 4.0% from FY2024.
- Non Operating Interest Expenses carries a five-year compound annual growth rate of -10.9% (FY2020 to FY2025).
- Going back by year, Non Operating Interest Expenses was $11.2 million in FY2024 (-1.2%), $11.33 million in FY2023 (+2.9%) and $11.01 million in FY2022.
- The five-year range for quarterly Non Operating Interest Expenses is $2.13 million (Q2 2026) to $2.9 million (Q1 2025).
- Year-over-year, Non Operating Interest Expenses has declined for four consecutive quarters, with an average decline of 10.6% over the last eight quarters.
- The fastest year-over-year change in Non Operating Interest Expenses over five years came in Q1 2025 (growth of 3.6%), and the weakest in Q2 2026 (a decline of 25.0%).
- Business Quant data shows TVTX's Non Operating Interest Expenses at $2.13 million (Q2 2026), $2.3 million (Q1 2026) and $2.25 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | - |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 217.00 Mn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | - |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | - |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | -477.00 Mn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 653.00 Mn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 269.00 Mn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | - |
| 10 | Travere Therapeutics | 4.97 Bn | 4.56 Bn | 221.70 Mn | 2.14 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.14 Mn |
| Jun 30, 2026 | 2.13 Mn |
| Mar 31, 2026 | 2.30 Mn |
| Dec 31, 2025 | 2.25 Mn |
| Sep 30, 2025 | 2.80 Mn |
| Jun 30, 2025 | 2.85 Mn |
| Mar 31, 2025 | 2.90 Mn |
| Dec 31, 2024 | 2.80 Mn |
| Sep 30, 2024 | 2.80 Mn |
| Jun 30, 2024 | 2.80 Mn |
| Mar 31, 2024 | 2.80 Mn |
| Dec 31, 2023 | 2.82 Mn |
| Sep 30, 2023 | 2.82 Mn |
| Jun 30, 2023 | 2.84 Mn |
| Mar 31, 2023 | -2.85 Mn |
| Dec 31, 2022 | 19.17 Mn |
| Sep 30, 2022 | -2.83 Mn |
| Jun 30, 2022 | -2.97 Mn |
| Mar 31, 2022 | -2.52 Mn |
| Dec 31, 2021 | -4.61 Mn |
Travere Therapeutics Non Operating 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=non-operating-interest-expenses&ticker=TVTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=TVTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();