Prime Medicine (PRME) Total Liabilities (2021 - 2026)
Prime Medicine's Total Liabilities came in at $209.23 million for Q2 2026, down 4.1% from $218.15 million a year earlier and down 4.0% from the prior quarter.
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Analysis
Prime Medicine (PRME) Total Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, Prime Medicine's Total Liabilities was $221.87 million, up 53.7% from FY2024.
- Total Liabilities has increased in each of the last three years, though with a four-year compound annual growth rate of -16.6% (FY2021 to FY2025).
- Going back by year, Total Liabilities was $144.36 million in FY2024 (+137.5%), $60.78 million in FY2023 (+38.0%), $44.04 million in FY2022 (-90.4%) and $458.1 million in FY2021.
- The Q2 2026 figure represents the lowest quarterly Total Liabilities since Q4 2024.
- Year-over-year, Total Liabilities increased in six of the last eight quarters, with growth averaging 116.4%.
- The fastest year-over-year change in Total Liabilities over five years came in Q2 2025 (growth of 245.6%), and the weakest in Q4 2022 (a decline of 90.4%).
- Business Quant data shows PRME's Total Liabilities at $218.03 million (Q1 2026), $221.87 million (Q4 2025) and $223.19 million (Q3 2025) in the three quarters before Q2 2026.
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 | Prime Medicine | 520.52 Mn | 520.52 Mn | - | 209.23 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 209.23 Mn |
| Mar 31, 2026 | 218.03 Mn |
| Dec 31, 2025 | 221.87 Mn |
| Sep 30, 2025 | 223.19 Mn |
| Jun 30, 2025 | 218.15 Mn |
| Mar 31, 2025 | 221.24 Mn |
| Dec 31, 2024 | 144.36 Mn |
| Sep 30, 2024 | 143.28 Mn |
| Jun 30, 2024 | 63.12 Mn |
| Mar 31, 2024 | 67.62 Mn |
| Dec 31, 2023 | 60.78 Mn |
| Sep 30, 2023 | 45.19 Mn |
| Jun 30, 2023 | 40.76 Mn |
| Mar 31, 2023 | 38.15 Mn |
| Dec 31, 2022 | 44.04 Mn |
| Sep 30, 2022 | 438.36 Mn |
| Dec 31, 2021 | 458.10 Mn |
API Access
Prime Medicine 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=PRME&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "PRME", "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=PRME&period=max&api_key=YOUR_API_KEY");
const data = await res.json();