Prothena Corp Public (PRTA) Total Liabilities (2012 - 2026)
Prothena Corp Public (PRTA) reported Total Liabilities of $15.69 million for Q2 2026, down 79.0% from $74.74 million a year earlier and down 57.9% from the prior quarter.
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Analysis
Prothena Corp Public (PRTA) Total Liabilities (2012 - 2026) Analysis & Trends
At the end of FY2025, Prothena Corp Public posted Total Liabilities of $46.33 million, down 23.0% from FY2024.
- Total Liabilities has declined for five consecutive years, with a five-year compound annual growth rate of -20.8% (FY2020 to FY2025).
- By year, Total Liabilities came in at $60.18 million in FY2024 (-55.4%), $135.02 million in FY2023 (-0.7%), $135.99 million in FY2022 (-5.1%) and $143.32 million in FY2021 (-3.8%).
- The Q2 2026 figure ranks as the lowest quarterly Total Liabilities since Q1 2015.
- Year over year, Total Liabilities has now declined in each of the last four quarters, with an average decline of 35.8% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was Q2 2025 (growth of 17.4%); the low point was Q2 2026 (a decline of 79.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $37.28 million (Q1 2026), $46.33 million (Q4 2025) and $57.64 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 | Prothena Corp Public | 451.21 Mn | -804.86 Mn | - | 15.69 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.69 Mn |
| Mar 31, 2026 | 37.28 Mn |
| Dec 31, 2025 | 46.33 Mn |
| Sep 30, 2025 | 57.64 Mn |
| Jun 30, 2025 | 74.74 Mn |
| Mar 31, 2025 | 57.66 Mn |
| Dec 31, 2024 | 60.18 Mn |
| Sep 30, 2024 | 60.89 Mn |
| Jun 30, 2024 | 63.65 Mn |
| Mar 31, 2024 | 120.80 Mn |
| Dec 31, 2023 | 135.02 Mn |
| Sep 30, 2023 | 129.69 Mn |
| Jun 30, 2023 | 138.97 Mn |
| Mar 31, 2023 | 134.18 Mn |
| Dec 31, 2022 | 135.99 Mn |
| Sep 30, 2022 | 149.79 Mn |
| Jun 30, 2022 | 142.29 Mn |
| Mar 31, 2022 | 142.53 Mn |
| Dec 31, 2021 | 143.32 Mn |
| Sep 30, 2021 | 142.23 Mn |
API Access
Prothena Corp Public 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=PRTA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "PRTA", "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=PRTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();