Mirum Pharmaceuticals (MIRM) Change in Accured Expenses (2019 - 2026)
Mirum Pharmaceuticals' Change in Accured Expenses came in at -$19.06 million for Q2 2026, compared with $10.58 million a year earlier.
Mirum Pharmaceuticals (MIRM) Change in Accured Expenses (2019 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Mirum Pharmaceuticals reported Change in Accured Expenses of $65.97 million, up 48.6% year-over-year; for FY2025, it came in at $50.1 million, up 24.3% from FY2024.
- Change in Accured Expenses has increased in each of the last three years, with a five-year compound annual growth rate of 68.6% (FY2020 to FY2025).
- Going back by year, Change in Accured Expenses was $40.31 million in FY2024 (+31.0%), $30.78 million in FY2023 (+302.9%), $7.64 million in FY2022 (-66.3%) and $22.66 million in FY2021 (+515.1%).
- The Q2 2026 figure represents the lowest quarterly Change in Accured Expenses in data going back to Q1 2019.
- Year-over-year, Change in Accured Expenses increased in five of the last seven quarters, with growth averaging 67.2%.
- The fastest year-over-year change in Change in Accured Expenses over five years came in Q1 2026 (growth of 387.7%), and the weakest in Q4 2025 (a decline of 63.1%).
- Business Quant data shows MIRM's Change in Accured Expenses at $57.24 million (Q1 2026), $3.44 million (Q4 2025) and $24.35 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (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 | 2.96 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 1.20 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | -251.00 Mn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | - |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 901.00 Mn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 338.00 Mn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | - |
| 10 | Mirum Pharmaceuticals | 5.37 Bn | 3.79 Bn | 145.90 Mn | -19.06 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -19.06 Mn |
| Mar 31, 2026 | 57.24 Mn |
| Dec 31, 2025 | 3.44 Mn |
| Sep 30, 2025 | 24.35 Mn |
| Jun 30, 2025 | 10.58 Mn |
| Mar 31, 2025 | 11.74 Mn |
| Dec 31, 2024 | 9.34 Mn |
| Sep 30, 2024 | 12.75 Mn |
| Jun 30, 2024 | 6.94 Mn |
| Mar 31, 2024 | 11.28 Mn |
| Dec 31, 2023 | 12.53 Mn |
| Sep 30, 2023 | 10.29 Mn |
| Jun 30, 2023 | 9.18 Mn |
| Mar 31, 2023 | -1.21 Mn |
| Dec 31, 2022 | -5,000.00 |
| Sep 30, 2022 | 6.83 Mn |
| Jun 30, 2022 | 8.89 Mn |
| Mar 31, 2022 | -8.07 Mn |
| Dec 31, 2021 | 9.02 Mn |
| Sep 30, 2021 | 3.78 Mn |
Mirum Pharmaceuticals Change in Accured 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=MIRM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "MIRM", "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=MIRM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();