Prothena Corp Public (PRTA) Accumulated Expenses (2012 - 2026)
Prothena Corp Public (PRTA) reported Accumulated Expenses of $550,000 for Q2 2026, down 98.2% from $30.33 million a year earlier and down 93.6% from the prior quarter.
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Analysis
Prothena Corp Public (PRTA) Accumulated Expenses (2012 - 2026) Analysis & Trends
At the end of FY2025, Prothena Corp Public posted Accumulated Expenses of $13.3 million, down 0.9% from FY2024.
- Accumulated Expenses has a five-year compound annual growth rate of 8.0% (FY2020 to FY2025).
- By year, Accumulated Expenses came in at $13.43 million in FY2024 (-8.8%), $14.72 million in FY2023 (+36.4%), $10.79 million in FY2022 (+70.0%) and $6.35 million in FY2021 (-29.8%).
- The Q2 2026 figure ranks as the lowest quarterly Accumulated Expenses since Q4 2012.
- Year over year, Accumulated Expenses gained in two of the last six quarters, with growth averaging 1.7%.
- The high point for year-over-year Accumulated Expenses in five years was Q3 2022 (growth of 118.1%); the low point was Q2 2026 (a decline of 98.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $8.59 million (Q1 2026), $13.3 million (Q4 2025) and $17.61 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | Prothena Corp Public | 433.62 Mn | -822.46 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 550,000.00 |
| Mar 31, 2026 | 8.59 Mn |
| Dec 31, 2025 | 13.30 Mn |
| Sep 30, 2025 | 17.61 Mn |
| Jun 30, 2025 | 30.33 Mn |
| Dec 31, 2024 | 13.43 Mn |
| Sep 30, 2024 | 10.34 Mn |
| Jun 30, 2024 | 15.93 Mn |
| Mar 31, 2024 | 17.34 Mn |
| Dec 31, 2023 | 14.72 Mn |
| Sep 30, 2023 | 18.00 Mn |
| Jun 30, 2023 | 18.93 Mn |
| Mar 31, 2023 | 14.16 Mn |
| Dec 31, 2022 | 10.79 Mn |
| Sep 30, 2022 | 11.59 Mn |
| Jun 30, 2022 | 9.19 Mn |
| Mar 31, 2022 | 6.66 Mn |
| Dec 31, 2021 | 6.35 Mn |
| Sep 30, 2021 | 5.32 Mn |
| Jun 30, 2021 | 8.38 Mn |
API Access
Prothena Corp Public Accumulated Expenses 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=accumulated-expenses&ticker=PRTA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=PRTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();