Stoke Therapeutics (STOK) Return on Sales [ROS] (2020 - 2026)
Stoke Therapeutics (STOK) recorded Return on Sales [ROS] of -701.65% in Q2 2026, down 504.07 percentage points from -197.58% a year earlier but up 155.92 percentage points from the prior quarter.
Stoke Therapeutics (STOK) Return on Sales [ROS] (2020 - 2026) Analysis & Trends
On a TTM basis, Stoke Therapeutics' Return on Sales [ROS] came in at -809.69% as of Jun 30, 2026, down 829.84 percentage points year-over-year; for FY2025, it came in at -11.16%, up 266.15 percentage points from FY2024.
- Annual Return on Sales [ROS] has a three-year change of +830.08 percentage points (FY2022 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at -277.31% in FY2024 (+1029.90 pp), -1307.21% in FY2023 (-465.97 pp) and -841.24% in FY2022.
- Quarterly Return on Sales [ROS] has ranged from -4382.24% in Q4 2025 to 70.15% in Q1 2025 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] has declined for three consecutive quarters, with an average year-over-year change of -398.41 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 995.51 percentage points in Q4 2024, against a drop of 4321.87 percentage points in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at -857.57% (Q1 2026), -4382.24% (Q4 2025) and -405.30% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,199.50 Bn | 1,168.08 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 635.17 Bn | 555.03 Bn | 17.30 Bn | 24.35% |
| 3 | AbbVie | 504.69 Bn | 477.85 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 358.43 Bn | 312.86 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 288.36 Bn | 252.75 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 265.78 Bn | 239.54 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 237.46 Bn | 192.86 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 193.65 Bn | 167.76 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 171.05 Bn | 118.00 Bn | 10.94 Bn | 28.37% |
| 10 | Stoke Therapeutics | 1.56 Bn | 393.22 Mn | - | -701.65% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -701.65% |
| Mar 31, 2026 | -857.57% |
| Dec 31, 2025 | -4,382.24% |
| Sep 30, 2025 | -405.30% |
| Jun 30, 2025 | -197.58% |
| Mar 31, 2025 | 70.15% |
| Dec 31, 2024 | -60.37% |
| Sep 30, 2024 | -613.06% |
| Jun 30, 2024 | -607.37% |
| Mar 31, 2024 | -672.96% |
| Dec 31, 2023 | -1,055.89% |
| Sep 30, 2023 | -823.28% |
| Jun 30, 2023 | -1,340.67% |
| Mar 31, 2023 | -479.23% |
| Dec 31, 2022 | -831.58% |
| Sep 30, 2022 | -934.53% |
| Jun 30, 2022 | -781.12% |
| Mar 31, 2022 | -826.50% |
| Dec 31, 2021 | -68,127.78% |
| Sep 30, 2021 | -51,552.27% |
Stoke 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=STOK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "STOK", "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=STOK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();