Prothena Corp Public (PRTA) Non-Current Assets (2012 - 2026)
Prothena Corp Public's Non-Current Assets came in at $10.57 million for Q2 2026, down 22.3% from $13.59 million a year earlier and down 1.2% from the prior quarter.
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Analysis
Prothena Corp Public (PRTA) Non-Current Assets (2012 - 2026) Analysis & Trends
At the end of FY2025, Prothena Corp Public's Non-Current Assets was $11.61 million, down 81.2% from FY2024.
- Non-Current Assets carries a five-year compound annual growth rate of -19.2% (FY2020 to FY2025).
- Going back by year, Non-Current Assets was $61.7 million in FY2024 (+8.0%), $57.1 million in FY2023 (+46.6%), $38.94 million in FY2022 (+58.6%) and $24.56 million in FY2021 (-27.1%).
- The Q2 2026 figure represents the lowest quarterly Non-Current Assets since Q1 2016.
- Year-over-year, Non-Current Assets has declined for five consecutive quarters, with an average decline of 40.4% over the last eight quarters.
- The fastest year-over-year change in Non-Current Assets over five years came in Q3 2023 (growth of 88.5%), and the weakest in Q1 2026 (a decline of 81.9%).
- Business Quant data shows PRTA's Non-Current Assets at $10.69 million (Q1 2026), $11.61 million (Q4 2025) and $12.65 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 141.29 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 101.45 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 125.00 Mn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 94.68 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 87.87 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 60.68 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 35.42 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 159.77 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 14.88 Bn |
| 10 | Prothena Corp Public | 451.21 Mn | -804.86 Mn | - | 10.57 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.57 Mn |
| Mar 31, 2026 | 10.69 Mn |
| Dec 31, 2025 | 11.61 Mn |
| Sep 30, 2025 | 12.65 Mn |
| Jun 30, 2025 | 13.59 Mn |
| Mar 31, 2025 | 59.16 Mn |
| Dec 31, 2024 | 61.70 Mn |
| Sep 30, 2024 | 60.27 Mn |
| Jun 30, 2024 | 59.59 Mn |
| Mar 31, 2024 | 57.33 Mn |
| Dec 31, 2023 | 57.10 Mn |
| Sep 30, 2023 | 56.32 Mn |
| Jun 30, 2023 | 43.55 Mn |
| Mar 31, 2023 | 41.24 Mn |
| Dec 31, 2022 | 38.94 Mn |
| Sep 30, 2022 | 29.88 Mn |
| Jun 30, 2022 | 28.30 Mn |
| Mar 31, 2022 | 25.79 Mn |
| Dec 31, 2021 | 24.56 Mn |
| Sep 30, 2021 | 25.17 Mn |
API Access
Prothena Corp Public Non-Current Assets 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=non-current-assets&ticker=PRTA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=PRTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();