Vaxcyte (PCVX) Total Liabilities (2019 - 2026)
Vaxcyte (PCVX) reported Total Liabilities of $380.21 million for Q2 2026, up 62.5% from $234.03 million a year earlier and up 7.9% from the prior quarter.
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Analysis
Vaxcyte (PCVX) Total Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Vaxcyte posted Total Liabilities of $317.21 million, up 54.4% from FY2024.
- Total Liabilities has increased for four consecutive years, with a five-year compound annual growth rate of 46.5% (FY2020 to FY2025).
- By year, Total Liabilities came in at $205.5 million in FY2024 (+22.7%), $167.45 million in FY2023 (+218.6%), $52.57 million in FY2022 (+30.4%) and $40.32 million in FY2021 (-14.2%).
- The Q2 2026 figure ranks as the highest quarterly Total Liabilities in data going back to Q4 2019.
- Year over year, Total Liabilities has now increased in each of the last 17 quarters, with growth averaging 72.9% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was Q4 2023 (growth of 218.6%); the low point was Q1 2022 (a decline of 22.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $352.29 million (Q1 2026), $317.21 million (Q4 2025) and $278.72 million (Q3 2025).
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 | Vaxcyte | 8.44 Bn | 8.44 Bn | - | 380.21 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 380.21 Mn |
| Mar 31, 2026 | 352.29 Mn |
| Dec 31, 2025 | 317.21 Mn |
| Sep 30, 2025 | 278.72 Mn |
| Jun 30, 2025 | 234.03 Mn |
| Mar 31, 2025 | 178.08 Mn |
| Dec 31, 2024 | 205.50 Mn |
| Sep 30, 2024 | 142.11 Mn |
| Jun 30, 2024 | 101.14 Mn |
| Mar 31, 2024 | 107.32 Mn |
| Dec 31, 2023 | 167.45 Mn |
| Sep 30, 2023 | 93.34 Mn |
| Jun 30, 2023 | 69.44 Mn |
| Mar 31, 2023 | 63.39 Mn |
| Dec 31, 2022 | 52.57 Mn |
| Sep 30, 2022 | 52.75 Mn |
| Jun 30, 2022 | 45.12 Mn |
| Mar 31, 2022 | 43.17 Mn |
| Dec 31, 2021 | 40.32 Mn |
| Sep 30, 2021 | 48.11 Mn |
API Access
Vaxcyte 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=PCVX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "PCVX", "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=PCVX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();