Prime Medicine (PRME) Accumulated Expenses (2021 - 2026)
Prime Medicine (PRME) recorded Accumulated Expenses of $8.98 million in Q2 2026, down 26.2% from $12.16 million a year earlier but up 10.9% from the prior quarter.
Prime Medicine (PRME) Accumulated Expenses (2021 - 2026) Analysis & Trends
At the end of FY2025, Prime Medicine reported Accumulated Expenses of $12.6 million, down 20.8% from FY2024.
- Annual Accumulated Expenses has a four-year compound annual growth rate of -23.7% (FY2021 to FY2025).
- Across earlier years, Accumulated Expenses came in at $15.9 million in FY2024 (+12.7%), $14.11 million in FY2023 (+32.0%), $10.69 million in FY2022 (-71.3%) and $37.19 million in FY2021.
- Quarterly Accumulated Expenses has ranged from $6.53 million in Q3 2022 to $37.19 million in Q4 2021 over the past five years.
- On a year-over-year basis, Accumulated Expenses has declined for four consecutive quarters, with an average decline of 2.7% over the last eight quarters.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 114.7% in Q3 2023, against a decline of 71.3% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $8.1 million (Q1 2026), $12.6 million (Q4 2025) and $11 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | Prime Medicine | 553.06 Mn | 553.06 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.98 Mn |
| Mar 31, 2026 | 8.10 Mn |
| Dec 31, 2025 | 12.60 Mn |
| Sep 30, 2025 | 11.00 Mn |
| Jun 30, 2025 | 12.16 Mn |
| Mar 31, 2025 | 9.19 Mn |
| Dec 31, 2024 | 15.90 Mn |
| Sep 30, 2024 | 18.68 Mn |
| Jun 30, 2024 | 10.90 Mn |
| Mar 31, 2024 | 7.61 Mn |
| Dec 31, 2023 | 14.11 Mn |
| Sep 30, 2023 | 14.02 Mn |
| Jun 30, 2023 | 9.72 Mn |
| Mar 31, 2023 | 7.54 Mn |
| Dec 31, 2022 | 10.69 Mn |
| Sep 30, 2022 | 6.53 Mn |
| Dec 31, 2021 | 37.19 Mn |
Prime Medicine Accumulated 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=accumulated-expenses&ticker=PRME&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=PRME&period=max&api_key=YOUR_API_KEY");
const data = await res.json();