Prothena Corp Public (PRTA) Total Current Liabilities (2012 - 2026)
Prothena Corp Public's Total Current Liabilities was $11.66 million in Q2 2026, down 82.8% from $67.81 million a year earlier and down 64.1% from the prior quarter.
Prothena Corp Public (PRTA) Total Current Liabilities (2012 - 2026) Analysis & Trends
At the end of FY2025, Total Current Liabilities at Prothena Corp Public came in at $40.84 million, down 15.8% from FY2024.
- Total Current Liabilities shows a five-year compound annual growth rate of 9.6% (FY2020 to FY2025).
- In earlier years, Total Current Liabilities was $48.5 million in FY2024 (-14.7%), $56.89 million in FY2023 (+13.4%), $50.15 million in FY2022 (+49.9%) and $33.45 million in FY2021 (+29.4%).
- The Q2 2026 figure marks the lowest quarterly Total Current Liabilities since Q1 2015.
- Compared with a year earlier, Total Current Liabilities has declined for three straight quarters, with an average decline of 11.4% over the last eight quarters.
- The best year-over-year quarter for Total Current Liabilities over five years was Q2 2023 (growth of 78.4%); the worst was Q2 2026 (a decline of 82.8%).
- Per Business Quant data, PRTA's Total Current Liabilities in the three quarters before Q2 2026 was $32.52 million (Q1 2026), $40.84 million (Q4 2025) and $51.44 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 54.90 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 41.64 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 27.73 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 31.75 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -31.55 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 25.50 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 11.02 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 32.65 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 3.94 Bn |
| 10 | Prothena Corp Public | 451.21 Mn | -804.86 Mn | - | 11.66 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.66 Mn |
| Mar 31, 2026 | 32.52 Mn |
| Dec 31, 2025 | 40.84 Mn |
| Sep 30, 2025 | 51.44 Mn |
| Jun 30, 2025 | 67.81 Mn |
| Mar 31, 2025 | 48.46 Mn |
| Dec 31, 2024 | 48.50 Mn |
| Sep 30, 2024 | 46.42 Mn |
| Jun 30, 2024 | 46.74 Mn |
| Mar 31, 2024 | 43.27 Mn |
| Dec 31, 2023 | 56.89 Mn |
| Sep 30, 2023 | 53.37 Mn |
| Jun 30, 2023 | 71.57 Mn |
| Mar 31, 2023 | 48.88 Mn |
| Dec 31, 2022 | 50.15 Mn |
| Sep 30, 2022 | 50.60 Mn |
| Jun 30, 2022 | 40.11 Mn |
| Mar 31, 2022 | 36.50 Mn |
| Dec 31, 2021 | 33.45 Mn |
| Sep 30, 2021 | 29.20 Mn |
Prothena Corp Public Total Current 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-current-liabilities&ticker=PRTA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=PRTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();