PMV Pharmaceuticals (PMVP) Operating Expenses (2019 - 2026)
PMV Pharmaceuticals (PMVP) reported Operating Expenses of $18.88 million for Q2 2026, down 17.5% from $22.88 million a year earlier and down 0.7% from the prior quarter.
PMV Pharmaceuticals (PMVP) Operating Expenses (2019 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, PMV Pharmaceuticals' Operating Expenses came in at $79.66 million, down 12.9% year-over-year; for FY2025, it came in at $86.21 million, up 0.9% from FY2024.
- Operating Expenses has increased for seven consecutive years, with a five-year compound annual growth rate of 19.8% (FY2020 to FY2025).
- By year, Operating Expenses came in at $85.45 million in FY2024 (+6.6%), $80.13 million in FY2023 (+4.0%), $77.04 million in FY2022 (+32.2%) and $58.29 million in FY2021 (+66.8%).
- The Q2 2026 figure ranks as the lowest quarterly Operating Expenses since Q1 2024.
- Year over year, Operating Expenses has now declined in each of the last three quarters, with growth averaging 3.3% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q4 2021 (growth of 75.9%); the low point was Q4 2025 (a decline of 23.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $19.02 million (Q1 2026), $19.24 million (Q4 2025) and $22.52 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,165.22 Bn | 1,133.81 Bn | 19.71 Bn | 7.95 Bn |
| 2 | Johnson & Johnson | 646.28 Bn | 566.14 Bn | 17.30 Bn | 11.12 Bn |
| 3 | AbbVie | 503.17 Bn | 476.28 Bn | 12.70 Bn | 10.56 Bn |
| 4 | Merck | 365.23 Bn | 319.60 Bn | 12.21 Bn | 12.80 Bn |
| 5 | Novartis Ag | 302.66 Bn | 266.65 Bn | 11.24 Bn | 6.09 Bn |
| 6 | Astrazeneca | 267.39 Bn | 241.08 Bn | 12.86 Bn | 9.70 Bn |
| 7 | Amgen | 241.61 Bn | 197.01 Bn | 7.24 Bn | 6.54 Bn |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn | 18.20 Bn |
| 9 | Pfizer | 172.91 Bn | 119.55 Bn | 10.94 Bn | 6.68 Bn |
| 10 | PMV Pharmaceuticals | 69.67 Mn | -345.50 Mn | - | 18.88 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.88 Mn |
| Mar 31, 2026 | 19.02 Mn |
| Dec 31, 2025 | 19.24 Mn |
| Sep 30, 2025 | 22.52 Mn |
| Jun 30, 2025 | 22.88 Mn |
| Mar 31, 2025 | 21.56 Mn |
| Dec 31, 2024 | 25.17 Mn |
| Sep 30, 2024 | 21.89 Mn |
| Jun 30, 2024 | 20.17 Mn |
| Mar 31, 2024 | 18.22 Mn |
| Dec 31, 2023 | 18.90 Mn |
| Sep 30, 2023 | 19.63 Mn |
| Jun 30, 2023 | 20.12 Mn |
| Mar 31, 2023 | 21.48 Mn |
| Dec 31, 2022 | 21.16 Mn |
| Sep 30, 2022 | 19.38 Mn |
| Jun 30, 2022 | 17.89 Mn |
| Mar 31, 2022 | 18.62 Mn |
| Dec 31, 2021 | 18.47 Mn |
| Sep 30, 2021 | 15.10 Mn |
PMV 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=PMVP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "PMVP", "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=PMVP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();