Prothena Corp Public (PRTA) Return on Sales [ROS] (2013 - 2026)
Prothena Corp Public (PRTA) posted Return on Sales [ROS] of -2089.21% for Q2 2026, down 174.82 percentage points from -1914.39% a year earlier and down 2148.00 percentage points from the prior quarter.
Prothena Corp Public (PRTA) Return on Sales [ROS] (2013 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Prothena Corp Public was -101.80%, up 2621.41 percentage points year-over-year; for FY2025, it came in at -2216.44%, down 2102.08 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of +10999.74 percentage points (FY2020 to FY2025).
- In prior years, Prothena Corp Public's Return on Sales [ROS] was -114.36% in FY2024 (+94.72 pp), -209.08% in FY2023 (+34.97 pp), -244.05% in FY2022 (-279.94 pp) and 35.88% in FY2021 (+13252.06 pp).
- Quarterly Return on Sales [ROS] has run from a low of -163056.00% in Q1 2024 to a high of 78.48% in Q3 2021 over five years.
- On a year-over-year basis, Return on Sales [ROS] increased in four of the last eight quarters, with an average year-over-year change of +8612.14 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q1 2025, with a gain of 160737.01 percentage points; the weakest was Q1 2024, with a drop of 160459.18 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 58.80% (Q1 2026), -115252.38% (Q4 2025) and -1666.25% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | 28.21% |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | 28.37% |
| 10 | Prothena Corp Public | 441.90 Mn | -814.18 Mn | - | -2,089.21% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -2,089.21% |
| Mar 31, 2026 | 58.80% |
| Dec 31, 2025 | -115,252.38% |
| Sep 30, 2025 | -1,666.25% |
| Jun 30, 2025 | -1,914.39% |
| Mar 31, 2025 | -2,318.99% |
| Dec 31, 2024 | -3,056.85% |
| Sep 30, 2024 | -6,857.01% |
| Jun 30, 2024 | 44.22% |
| Mar 31, 2024 | -163,056.00% |
| Dec 31, 2023 | -24,846.52% |
| Sep 30, 2023 | 12.15% |
| Jun 30, 2023 | -1,654.74% |
| Mar 31, 2023 | -2,596.82% |
| Dec 31, 2022 | -0.14% |
| Sep 30, 2022 | -3,317.86% |
| Jun 30, 2022 | -3,293.37% |
| Mar 31, 2022 | -3,290.89% |
| Dec 31, 2021 | -2,823.55% |
| Sep 30, 2021 | 78.48% |
Prothena Corp Public Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=PRTA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=PRTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();