Prothena Corp Public (PRTA) Restructuring Costs (2018 - 2026)
Prothena Corp Public (PRTA) reported Restructuring Costs of $2.41 million for Q2 2026, down 92.6% from $32.61 million a year earlier.
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Analysis
Prothena Corp Public (PRTA) Restructuring Costs (2018 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Prothena Corp Public's Restructuring Costs came in at -$4.34 million; for FY2025, it came in at $30.1 million.
- Five-year quarterly Restructuring Costs spans a low of -$4.24 million in Q1 2026 and a high of $32.61 million in Q2 2025.
- Per Business Quant data, the three quarters before Q2 2026 came in at -$4.24 million (Q1 2026), -$2.99 million (Q4 2025) and $479,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn |
| 10 | Prothena Corp Public | 420.81 Mn | -835.26 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.41 Mn |
| Mar 31, 2026 | -4.24 Mn |
| Dec 31, 2025 | -2.99 Mn |
| Sep 30, 2025 | 479,000.00 |
| Jun 30, 2025 | 32.61 Mn |
| Mar 31, 2019 | -61,000.00 |
| Dec 31, 2018 | -1.59 Mn |
| Sep 30, 2018 | -3.17 Mn |
| Jun 30, 2018 | 20.90 Mn |
API Access
Prothena Corp Public Restructuring Costs 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=restructuring-costs&ticker=PRTA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=PRTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();