Mirum Pharmaceuticals (MIRM) Operating Expenses (2019 - 2026)
Mirum Pharmaceuticals (MIRM) recorded Operating Expenses of $218.78 million in Q2 2026, up 64.8% from $132.77 million a year earlier but down 77.0% from the prior quarter.
Mirum Pharmaceuticals (MIRM) Operating Expenses (2019 - 2026) Analysis & Trends
On a TTM basis, Mirum Pharmaceuticals' Operating Expenses came in at $1.45 billion as of Jun 30, 2026, up 198.6% year-over-year; for FY2025, it came in at $543.45 million, up 28.0% from FY2024.
- Annual Operating Expenses has increased for seven straight years, with a five-year compound annual growth rate of 39.1% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $424.49 million in FY2024 (+43.6%), $295.53 million in FY2023 (+41.9%), $208.28 million in FY2022 (+8.2%) and $192.55 million in FY2021 (+84.6%).
- Quarterly Operating Expenses has ranged from $45.63 million in Q1 2022 to $949.35 million in Q1 2026 over the past five years.
- On a year-over-year basis, Operating Expenses has increased for 17 consecutive quarters, with growth averaging 111.2% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 648.9% in Q1 2026, against a decline of 4.2% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $949.35 million (Q1 2026), $153.5 million (Q4 2025) and $130.41 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Mirum Pharmaceuticals | 5.54 Bn | 3.95 Bn | 145.90 Mn | 218.78 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 218.78 Mn |
| Mar 31, 2026 | 949.35 Mn |
| Dec 31, 2025 | 153.50 Mn |
| Sep 30, 2025 | 130.41 Mn |
| Jun 30, 2025 | 132.77 Mn |
| Mar 31, 2025 | 126.77 Mn |
| Dec 31, 2024 | 123.64 Mn |
| Sep 30, 2024 | 103.06 Mn |
| Jun 30, 2024 | 102.11 Mn |
| Mar 31, 2024 | 95.69 Mn |
| Dec 31, 2023 | 102.14 Mn |
| Sep 30, 2023 | 72.87 Mn |
| Jun 30, 2023 | 61.77 Mn |
| Mar 31, 2023 | 58.75 Mn |
| Dec 31, 2022 | 62.07 Mn |
| Sep 30, 2022 | 51.66 Mn |
| Jun 30, 2022 | 48.93 Mn |
| Mar 31, 2022 | 45.63 Mn |
| Dec 31, 2021 | 48.71 Mn |
| Sep 30, 2021 | 47.82 Mn |
Mirum Pharmaceuticals Operating 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=operating-expenses&ticker=MIRM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=MIRM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();