Ptc Therapeutics (PTCT) Return on Sales [ROS] (2012 - 2026)
Ptc Therapeutics' Return on Sales [ROS] was 7.02% in Q3 2026, up 5.59 percentage points from 1.43% a year earlier but down 34.30 percentage points from the prior quarter.
Ptc Therapeutics (PTCT) Return on Sales [ROS] (2012 - 2026) Analysis & Trends
On a trailing twelve-month basis, Ptc Therapeutics' Return on Sales [ROS] was 12.78% through Sep 30, 2026, down 30.83 percentage points year-over-year; for FY2025, it was 50.09%, up 87.60 percentage points from FY2024.
- Return on Sales [ROS] has now increased for five consecutive years, with a five-year change of +163.49 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was -37.50% in FY2024 (+9.36 pp), -46.86% in FY2023 (+17.16 pp), -64.03% in FY2022 (+5.50 pp) and -69.52% in FY2021 (+43.87 pp).
- Quarterly Return on Sales [ROS] has moved between -119.67% (Q4 2022) and 82.50% (Q1 2025) over five years.
- Compared with a year earlier, Return on Sales [ROS] was higher in six of the last eight quarters, with an average year-over-year change of +11.31 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q4 2023 (a gain of 121.56 percentage points); the worst was Q4 2024 (a drop of 78.07 percentage points).
- Per Business Quant data, PTCT's Return on Sales [ROS] in the three quarters before Q3 2026 was 41.32% (Q2 2026), 16.50% (Q1 2026) and -43.33% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 34.46% |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 24.35% |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 36.01% |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 30.74% |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 29.12% |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 35.79% |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 41.71% |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 32.98% |
| 10 | Ptc Therapeutics | 5.36 Bn | -2.84 Bn | 334.14 Mn | 7.02% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 7.02% |
| Jun 30, 2026 | 41.32% |
| Mar 31, 2026 | 16.50% |
| Dec 31, 2025 | -43.33% |
| Sep 30, 2025 | 1.43% |
| Jun 30, 2025 | -19.54% |
| Mar 31, 2025 | 82.50% |
| Dec 31, 2024 | -76.18% |
| Sep 30, 2024 | -27.70% |
| Jun 30, 2024 | -21.54% |
| Mar 31, 2024 | -21.63% |
| Dec 31, 2023 | 1.90% |
| Sep 30, 2023 | -60.11% |
| Jun 30, 2023 | -98.01% |
| Mar 31, 2023 | -53.37% |
| Dec 31, 2022 | -119.67% |
| Sep 30, 2022 | -31.40% |
| Jun 30, 2022 | -55.80% |
| Mar 31, 2022 | -58.17% |
| Dec 31, 2021 | -51.28% |
Ptc Therapeutics 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=PTCT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "PTCT", "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=PTCT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();