United Therapeutics (UTHR) Change in Accrued Expenses (2009 - 2026)
United Therapeutics (UTHR) posted Change in Accrued Expenses of -$4 million for Q2 2026, compared with $46.1 million a year earlier.
United Therapeutics (UTHR) Change in Accrued Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Accrued Expenses at United Therapeutics was $37.7 million, down 35.6% year-over-year; for FY2025, it came in at $97.9 million, up 129.3% from FY2024.
- Annual Change in Accrued Expenses shows a five-year compound annual growth rate of 20.5% (FY2020 to FY2025).
- In prior years, United Therapeutics' Change in Accrued Expenses was $42.7 million in FY2024 (-25.2%), $57.1 million in FY2023 (+28.3%), $44.5 million in FY2022 and -$12.5 million in FY2021.
- Quarterly Change in Accrued Expenses has run from a low of -$34.5 million in Q4 2021 to a high of $46.1 million in Q2 2025 over five years.
- The strongest year-over-year quarter for Change in Accrued Expenses in the past five years was Q2 2025, with growth of 78.7%; the weakest was Q1 2024, with a decline of 32.1%.
- According to Business Quant data, Change in Accrued Expenses for the three prior quarters was -$12.7 million (Q1 2026), $23.2 million (Q4 2025) and $31.2 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (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 | 2.41 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 983.00 Mn |
| 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 | - |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | -87.00 Mn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 756.00 Mn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | - |
| 10 | United Therapeutics | 24.95 Bn | 15.14 Bn | 733.40 Mn | 46.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 46.70 Mn |
| Jun 30, 2026 | -4.00 Mn |
| Mar 31, 2026 | -12.70 Mn |
| Dec 31, 2025 | 23.20 Mn |
| Sep 30, 2025 | 31.20 Mn |
| Jun 30, 2025 | 46.10 Mn |
| Mar 31, 2025 | -2.60 Mn |
| Dec 31, 2024 | -18.00 Mn |
| Sep 30, 2024 | 33.00 Mn |
| Jun 30, 2024 | 25.80 Mn |
| Mar 31, 2024 | 1.90 Mn |
| Dec 31, 2023 | -23.10 Mn |
| Sep 30, 2023 | 39.40 Mn |
| Jun 30, 2023 | 38.00 Mn |
| Mar 31, 2023 | 2.80 Mn |
| Dec 31, 2022 | 9.10 Mn |
| Sep 30, 2022 | 22.30 Mn |
| Jun 30, 2022 | 23.90 Mn |
| Mar 31, 2022 | -10.80 Mn |
| Dec 31, 2021 | -34.50 Mn |
United Therapeutics Change in Accrued 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=change-in-accured-expenses&ticker=UTHR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "UTHR", "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-accured-expenses&ticker=UTHR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();