Prime Medicine (PRME) Operating Expenses (2021 - 2026)
Prime Medicine's Operating Expenses came in at $44.44 million for Q2 2026, down 18.4% from $54.49 million a year earlier and down 13.7% from the prior quarter.
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Analysis
Prime Medicine (PRME) Operating Expenses (2021 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Prime Medicine reported Operating Expenses of $200.59 million, down 4.1% year-over-year; for FY2025, it was $212.98 million, up 3.7% from FY2024.
- Operating Expenses has increased in each of the last four years, with a five-year compound annual growth rate of 103.2% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $205.45 million in FY2024 (+0.3%), $204.79 million in FY2023 (+75.7%), $116.54 million in FY2022 (+38.0%) and $84.47 million in FY2021.
- The Q2 2026 figure represents the lowest quarterly Operating Expenses since Q1 2023.
- Year-over-year, Operating Expenses increased in four of the last eight quarters, with an average decline of 4.1%.
- The fastest year-over-year change in Operating Expenses over five years came in Q3 2022 (growth of 203.6%), and the weakest in Q4 2022 (a decline of 35.6%).
- Business Quant data shows PRME's Operating Expenses at $51.51 million (Q1 2026), $49.45 million (Q4 2025) and $55.2 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Prime Medicine | 520.52 Mn | 520.52 Mn | - | 44.44 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 44.44 Mn |
| Mar 31, 2026 | 51.51 Mn |
| Dec 31, 2025 | 49.45 Mn |
| Sep 30, 2025 | 55.20 Mn |
| Jun 30, 2025 | 54.49 Mn |
| Mar 31, 2025 | 53.85 Mn |
| Dec 31, 2024 | 46.41 Mn |
| Sep 30, 2024 | 54.44 Mn |
| Jun 30, 2024 | 55.67 Mn |
| Mar 31, 2024 | 48.93 Mn |
| Dec 31, 2023 | 68.04 Mn |
| Sep 30, 2023 | 51.46 Mn |
| Jun 30, 2023 | 45.26 Mn |
| Mar 31, 2023 | 40.03 Mn |
| Dec 31, 2022 | 38.69 Mn |
| Sep 30, 2022 | 31.66 Mn |
| Jun 30, 2022 | 26.31 Mn |
| Mar 31, 2022 | 19.90 Mn |
| Dec 31, 2021 | 60.08 Mn |
| Sep 30, 2021 | 10.43 Mn |
API Access
Prime Medicine 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=PRME&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=PRME&period=max&api_key=YOUR_API_KEY");
const data = await res.json();