Schrodinger (SDGR) Selling, General & Administrative (2019 - 2026)
Schrodinger (SDGR) recorded Selling, General & Administrative of $22.72 million in Q2 2026, down 9.8% from $25.19 million a year earlier and down 0.9% from the prior quarter.
Schrodinger (SDGR) Selling, General & Administrative (2019 - 2026) Analysis & Trends
On a TTM basis, Schrodinger's Selling, General & Administrative came in at $90.05 million as of Jun 30, 2026, down 11.4% year-over-year; for FY2025, it came in at $95.41 million, down 4.3% from FY2024.
- Annual Selling, General & Administrative has a five-year compound annual growth rate of 17.9% (FY2020 to FY2025).
- Across earlier years, Selling, General & Administrative came in at $99.68 million in FY2024 (+0.5%), $99.15 million in FY2023 (+9.2%), $90.83 million in FY2022 (+41.9%) and $64.01 million in FY2021 (+52.8%).
- Quarterly Selling, General & Administrative has ranged from $17.01 million in Q3 2021 to $26.31 million in Q1 2023 over the past five years.
- On a year-over-year basis, Selling, General & Administrative has declined for four consecutive quarters, with an average decline of 4.2% over the last eight quarters.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 74.9% in Q3 2021, against a decline of 12.6% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $22.91 million (Q1 2026), $22.71 million (Q4 2025) and $21.71 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 178,646.00 |
| 2 | Veeva Systems | 51.57 Bn | 23.82 Bn | 695.95 Mn | 71.31 Mn |
| 3 | Samsara | 23.54 Bn | 20.31 Bn | 392.58 Mn | 67.38 Mn |
| 4 | Ptc | 22.16 Bn | 20.97 Bn | 490.47 Mn | 59.97 Mn |
| 5 | Toast | 18.20 Bn | 10.87 Bn | 516.00 Mn | 89.00 Mn |
| 6 | Trimble | 13.96 Bn | 13.03 Bn | 674.90 Mn | 149.70 Mn |
| 7 | Manhattan Associates | 13.22 Bn | 12.21 Bn | 168.33 Mn | 26.74 Mn |
| 8 | Costar | 12.85 Bn | 6.80 Bn | 728.00 Mn | 114.00 Mn |
| 9 | Bentley Systems | 11.44 Bn | 10.90 Bn | 336.74 Mn | 65.22 Mn |
| 10 | Schrodinger | 1.72 Bn | 124.60 Mn | 32.43 Mn | 22.72 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.72 Mn |
| Mar 31, 2026 | 22.91 Mn |
| Dec 31, 2025 | 22.71 Mn |
| Sep 30, 2025 | 21.71 Mn |
| Jun 30, 2025 | 25.19 Mn |
| Mar 31, 2025 | 25.80 Mn |
| Dec 31, 2024 | 25.78 Mn |
| Sep 30, 2024 | 24.82 Mn |
| Jun 30, 2024 | 23.54 Mn |
| Mar 31, 2024 | 25.54 Mn |
| Dec 31, 2023 | 25.73 Mn |
| Sep 30, 2023 | 23.89 Mn |
| Jun 30, 2023 | 23.22 Mn |
| Mar 31, 2023 | 26.31 Mn |
| Dec 31, 2022 | 23.32 Mn |
| Sep 30, 2022 | 23.32 Mn |
| Jun 30, 2022 | 22.06 Mn |
| Mar 31, 2022 | 22.13 Mn |
| Dec 31, 2021 | 17.76 Mn |
| Sep 30, 2021 | 17.01 Mn |
Schrodinger Selling, General & Administrative 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=selling-general-and-administrative&ticker=SDGR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=SDGR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();