Passage BIO (PASG) Total Liabilities (2019 - 2026)
Passage BIO's Total Liabilities was $20.72 million in Q2 2026, down 49.4% from $40.94 million a year earlier and down 16.2% from the prior quarter.
Passage BIO (PASG) Total Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Passage BIO came in at $43.53 million, up 5.8% from FY2024.
- Total Liabilities shows a five-year compound annual growth rate of 13.3% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $41.15 million in FY2024 (+4.8%), $39.26 million in FY2023 (-6.9%), $42.18 million in FY2022 (+15.8%) and $36.42 million in FY2021 (+56.4%).
- The Q2 2026 figure marks the lowest quarterly Total Liabilities since Q3 2020.
- Compared with a year earlier, Total Liabilities was higher in five of the last eight quarters, with an average decline of 5.9%.
- The best year-over-year quarter for Total Liabilities over five years was Q1 2022 (growth of 119.3%); the worst was Q2 2026 (a decline of 49.4%).
- Per Business Quant data, PASG's Total Liabilities in the three quarters before Q2 2026 was $24.71 million (Q1 2026), $43.53 million (Q4 2025) and $43.04 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 7.18 Bn |
| 10 | Passage BIO | 14.48 Mn | 14.48 Mn | - | 20.72 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.72 Mn |
| Mar 31, 2026 | 24.71 Mn |
| Dec 31, 2025 | 43.53 Mn |
| Sep 30, 2025 | 43.04 Mn |
| Jun 30, 2025 | 40.94 Mn |
| Mar 31, 2025 | 39.30 Mn |
| Dec 31, 2024 | 41.15 Mn |
| Sep 30, 2024 | 39.04 Mn |
| Jun 30, 2024 | 34.84 Mn |
| Mar 31, 2024 | 35.65 Mn |
| Dec 31, 2023 | 39.26 Mn |
| Sep 30, 2023 | 42.98 Mn |
| Jun 30, 2023 | 43.28 Mn |
| Mar 31, 2023 | 42.89 Mn |
| Dec 31, 2022 | 42.18 Mn |
| Sep 30, 2022 | 45.66 Mn |
| Jun 30, 2022 | 51.37 Mn |
| Mar 31, 2022 | 51.91 Mn |
| Dec 31, 2021 | 36.42 Mn |
| Sep 30, 2021 | 28.71 Mn |
Passage BIO 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=PASG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "PASG", "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=PASG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();