PMV Pharmaceuticals (PMVP) Total Liabilities (2019 - 2026)
PMV Pharmaceuticals (PMVP) recorded Total Liabilities of $10.57 million in Q2 2026, down 13.7% from $12.25 million a year earlier but up 23.0% from the prior quarter.
PMV Pharmaceuticals (PMVP) Total Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, PMV Pharmaceuticals reported Total Liabilities of $11.85 million, down 22.1% from FY2024.
- Annual Total Liabilities has a five-year compound annual growth rate of 13.1% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $15.21 million in FY2024 (-42.5%), $26.46 million in FY2023 (+9.0%), $24.28 million in FY2022 (+5.5%) and $23.01 million in FY2021 (+259.0%).
- Quarterly Total Liabilities has ranged from $8.6 million in Q1 2026 to $26.46 million in Q4 2023 over the past five years.
- On a year-over-year basis, Total Liabilities has declined for seven consecutive quarters, with an average decline of 30.1% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 279.9% in Q1 2022, against a decline of 56.6% in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $8.6 million (Q1 2026), $11.85 million (Q4 2025) and $12.85 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,170.86 Bn | 1,139.45 Bn | 19.71 Bn | 108.40 Bn |
| 2 | Johnson & Johnson | 639.81 Bn | 558.34 Bn | 17.26 Bn | 116.09 Bn |
| 3 | AbbVie | 501.68 Bn | 474.79 Bn | 12.70 Bn | 141.05 Bn |
| 4 | Merck | 374.79 Bn | 329.16 Bn | 12.21 Bn | 87.82 Bn |
| 5 | Novartis Ag | 302.69 Bn | 266.68 Bn | 11.24 Bn | 80.09 Bn |
| 6 | Astrazeneca | 268.27 Bn | 241.96 Bn | 12.86 Bn | 65.46 Bn |
| 7 | Amgen | 242.43 Bn | 197.83 Bn | 7.24 Bn | 83.95 Bn |
| 8 | Gilead Sciences | 193.38 Bn | 167.58 Bn | 6.22 Bn | 37.53 Bn |
| 9 | Pfizer | 172.45 Bn | 119.10 Bn | 10.94 Bn | 115.64 Bn |
| 10 | PMV Pharmaceuticals | 71.00 Mn | -344.17 Mn | - | 10.57 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.57 Mn |
| Mar 31, 2026 | 8.60 Mn |
| Dec 31, 2025 | 11.85 Mn |
| Sep 30, 2025 | 12.85 Mn |
| Jun 30, 2025 | 12.25 Mn |
| Mar 31, 2025 | 10.50 Mn |
| Dec 31, 2024 | 15.21 Mn |
| Sep 30, 2024 | 25.59 Mn |
| Jun 30, 2024 | 23.22 Mn |
| Mar 31, 2024 | 24.20 Mn |
| Dec 31, 2023 | 26.46 Mn |
| Sep 30, 2023 | 23.42 Mn |
| Jun 30, 2023 | 24.41 Mn |
| Mar 31, 2023 | 23.79 Mn |
| Dec 31, 2022 | 24.28 Mn |
| Sep 30, 2022 | 23.79 Mn |
| Jun 30, 2022 | 23.59 Mn |
| Mar 31, 2022 | 23.17 Mn |
| Dec 31, 2021 | 23.01 Mn |
| Sep 30, 2021 | 19.23 Mn |
PMV 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=PMVP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=PMVP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();