Mirum Pharmaceuticals (MIRM) Total Liabilities (2018 - 2026)
Mirum Pharmaceuticals (MIRM) recorded Total Liabilities of $1.06 billion in Q2 2026, up 124.2% from $470.67 million a year earlier and up 62.8% from the prior quarter.
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Analysis
Mirum Pharmaceuticals (MIRM) Total Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025, Mirum Pharmaceuticals reported Total Liabilities of $528.12 million, up 18.6% from FY2024.
- Annual Total Liabilities has increased for six straight years, with a five-year compound annual growth rate of 50.3% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $445.11 million in FY2024 (+11.9%), $397.95 million in FY2023 (+88.7%), $210.87 million in FY2022 (+20.9%) and $174.44 million in FY2021 (+153.7%).
- The Q2 2026 figure is the highest quarterly Total Liabilities in data going back to Q4 2018.
- On a year-over-year basis, Total Liabilities has increased for 24 consecutive quarters, with growth averaging 30.3% over the last eight quarters.
- Over the past five years, the year-over-year growth in Total Liabilities ranged from 9.0% (Q2 2025) to 727.3% (Q3 2021).
- Per Business Quant, the preceding three quarters came in at $648.42 million (Q1 2026), $528.12 million (Q4 2025) and $493.07 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 7.18 Bn |
| 10 | Mirum Pharmaceuticals | 5.70 Bn | 4.11 Bn | 145.90 Mn | 1.06 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.06 Bn |
| Mar 31, 2026 | 648.42 Mn |
| Dec 31, 2025 | 528.12 Mn |
| Sep 30, 2025 | 493.07 Mn |
| Jun 30, 2025 | 470.67 Mn |
| Mar 31, 2025 | 456.99 Mn |
| Dec 31, 2024 | 445.11 Mn |
| Sep 30, 2024 | 435.87 Mn |
| Jun 30, 2024 | 431.77 Mn |
| Mar 31, 2024 | 417.36 Mn |
| Dec 31, 2023 | 397.95 Mn |
| Sep 30, 2023 | 381.56 Mn |
| Jun 30, 2023 | 364.98 Mn |
| Mar 31, 2023 | 192.38 Mn |
| Dec 31, 2022 | 210.87 Mn |
| Sep 30, 2022 | 195.05 Mn |
| Jun 30, 2022 | 186.55 Mn |
| Mar 31, 2022 | 169.22 Mn |
| Dec 31, 2021 | 174.44 Mn |
| Sep 30, 2021 | 178.77 Mn |
API Access
Mirum Pharmaceuticals Total Liabilities 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=total-liabilities&ticker=MIRM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=MIRM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();