Protagonist Therapeutics (PTGX) Total Liabilities (2015 - 2026)
Protagonist Therapeutics' Total Liabilities was $44 million in Q2 2026, down 12.0% from $49.99 million a year earlier but up 4.8% from the prior quarter.
Protagonist Therapeutics (PTGX) Total Liabilities (2015 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Protagonist Therapeutics came in at $53.48 million, down 23.0% from FY2024.
- Total Liabilities shows a five-year compound annual growth rate of 3.6% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $69.43 million in FY2024 (+226.4%), $21.27 million in FY2023 (-34.2%), $32.32 million in FY2022 (-32.2%) and $47.67 million in FY2021 (+6.3%).
- Quarterly Total Liabilities has moved between $21.27 million (Q4 2023) and $73.31 million (Q2 2024) over five years.
- Compared with a year earlier, Total Liabilities has declined for six straight quarters, with growth averaging 31.5% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was Q4 2024 (growth of 226.4%); the worst was Q1 2023 (a decline of 49.1%).
- Per Business Quant data, PTGX's Total Liabilities in the three quarters before Q2 2026 was $41.99 million (Q1 2026), $53.48 million (Q4 2025) and $56.25 million (Q3 2025).
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 | Protagonist Therapeutics | 9.21 Bn | 9.21 Bn | - | 44.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 44.00 Mn |
| Mar 31, 2026 | 41.99 Mn |
| Dec 31, 2025 | 53.48 Mn |
| Sep 30, 2025 | 56.25 Mn |
| Jun 30, 2025 | 49.99 Mn |
| Mar 31, 2025 | 53.08 Mn |
| Dec 31, 2024 | 69.43 Mn |
| Sep 30, 2024 | 71.94 Mn |
| Jun 30, 2024 | 73.31 Mn |
| Mar 31, 2024 | 68.83 Mn |
| Dec 31, 2023 | 21.27 Mn |
| Sep 30, 2023 | 27.87 Mn |
| Jun 30, 2023 | 26.40 Mn |
| Mar 31, 2023 | 23.69 Mn |
| Dec 31, 2022 | 32.32 Mn |
| Sep 30, 2022 | 38.56 Mn |
| Jun 30, 2022 | 42.53 Mn |
| Mar 31, 2022 | 46.52 Mn |
| Dec 31, 2021 | 47.67 Mn |
| Sep 30, 2021 | 43.52 Mn |
Protagonist Therapeutics 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=PTGX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "PTGX", "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=PTGX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();