Schrodinger (SDGR) Return on Sales [ROS] (2019 - 2026)
Schrodinger (SDGR) posted Return on Sales [ROS] of -70.55% for Q2 2026, up 26.06 percentage points from -96.61% a year earlier and up 12.73 percentage points from the prior quarter.
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Analysis
Schrodinger (SDGR) Return on Sales [ROS] (2019 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Schrodinger was -59.24%, up 21.85 percentage points year-over-year; for FY2025, it came in at -65.23%, up 35.62 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of -8.87 percentage points (FY2020 to FY2025).
- In prior years, Schrodinger's Return on Sales [ROS] was -100.85% in FY2024 (-18.95 pp), -81.90% in FY2023 (-0.76 pp), -81.13% in FY2022 (-0.34 pp) and -80.80% in FY2021 (-24.44 pp).
- Quarterly Return on Sales [ROS] has run from a low of -193.88% in Q3 2024 to a high of -19.67% in Q4 2025 over five years.
- On a year-over-year basis, Return on Sales [ROS] has increased in each of the last seven quarters, with an average year-over-year change of +26.19 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q3 2025, with a gain of 109.31 percentage points; the weakest was Q1 2024, with a drop of 137.17 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was -83.28% (Q1 2026), -19.67% (Q4 2025) and -84.58% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 49.64 Bn | 21.89 Bn | 695.95 Mn | 29.64% |
| 3 | Samsara | 24.71 Bn | 21.48 Bn | 392.58 Mn | 0.96% |
| 4 | Ptc | 22.42 Bn | 21.23 Bn | 490.47 Mn | 27.75% |
| 5 | Toast | 20.05 Bn | 12.69 Bn | 543.00 Mn | 8.33% |
| 6 | Manhattan Associates | 14.72 Bn | 13.78 Bn | 174.30 Mn | 26.45% |
| 7 | Bentley Systems | 13.98 Bn | 13.46 Bn | 349.55 Mn | 29.09% |
| 8 | Trimble | 12.81 Bn | 11.89 Bn | 659.10 Mn | 14.69% |
| 9 | Costar | 12.28 Bn | 7.67 Bn | 741.00 Mn | 8.82% |
| 10 | Schrodinger | 2.46 Bn | 881.81 Mn | 38.25 Mn | -40.52% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -40.52% |
| Jun 30, 2026 | -70.55% |
| Mar 31, 2026 | -83.28% |
| Dec 31, 2025 | -19.67% |
| Sep 30, 2025 | -84.58% |
| Jun 30, 2025 | -96.61% |
| Mar 31, 2025 | -85.45% |
| Dec 31, 2024 | -23.45% |
| Sep 30, 2024 | -193.88% |
| Jun 30, 2024 | -111.40% |
| Mar 31, 2024 | -184.25% |
| Dec 31, 2023 | -39.96% |
| Sep 30, 2023 | -132.00% |
| Jun 30, 2023 | -173.73% |
| Mar 31, 2023 | -47.08% |
| Dec 31, 2022 | -50.20% |
| Sep 30, 2022 | -124.83% |
| Jun 30, 2022 | -113.01% |
| Mar 31, 2022 | -58.86% |
| Dec 31, 2021 | -48.77% |
API Access
Schrodinger 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=SDGR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "SDGR", "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=SDGR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();