Schrodinger (SDGR) Cash & Equivalents (2019 - 2026)
Schrodinger's Cash & Equivalents was $287.85 million in Q2 2026, up 30.9% from $219.9 million a year earlier and up 10.6% from the prior quarter.
Schrodinger (SDGR) Cash & Equivalents (2019 - 2026) Analysis & Trends
At the end of FY2025, Cash & Equivalents at Schrodinger came in at $230.52 million, up 56.5% from FY2024.
- Cash & Equivalents shows a five-year compound annual growth rate of 2.6% (FY2020 to FY2025).
- In earlier years, Cash & Equivalents was $147.33 million in FY2024 (-5.1%), $155.32 million in FY2023 (+71.7%), $90.47 million in FY2022 (-24.8%) and $120.27 million in FY2021 (-40.5%).
- The Q2 2026 figure marks the highest quarterly Cash & Equivalents since Q1 2025.
- Compared with a year earlier, Cash & Equivalents was higher in five of the last eight quarters, with growth averaging 35.9%.
- The best year-over-year quarter for Cash & Equivalents over five years was Q1 2025 (growth of 150.3%); the worst was Q2 2024 (a decline of 62.2%).
- Per Business Quant data, SDGR's Cash & Equivalents in the three quarters before Q2 2026 was $260.26 million (Q1 2026), $230.52 million (Q4 2025) and $172.12 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 46.20 Bn | 18.45 Bn | 695.95 Mn | 1.81 Bn |
| 3 | Samsara | 22.32 Bn | 19.09 Bn | 392.58 Mn | 291.39 Mn |
| 4 | Toast | 16.73 Bn | 9.40 Bn | 516.00 Mn | 1.02 Bn |
| 5 | Ptc | 15.53 Bn | 14.35 Bn | 490.47 Mn | 351.45 Mn |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn | 1.18 Bn |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn | 214.40 Mn |
| 8 | Manhattan Associates | 11.58 Bn | 10.58 Bn | 168.33 Mn | 186.11 Mn |
| 9 | Costar | 11.10 Bn | 5.07 Bn | 728.00 Mn | 1.27 Bn |
| 10 | Schrodinger | 2.04 Bn | 437.95 Mn | 32.43 Mn | 287.85 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 287.85 Mn |
| Mar 31, 2026 | 260.26 Mn |
| Dec 31, 2025 | 230.52 Mn |
| Sep 30, 2025 | 172.12 Mn |
| Jun 30, 2025 | 219.90 Mn |
| Mar 31, 2025 | 326.00 Mn |
| Dec 31, 2024 | 147.33 Mn |
| Sep 30, 2024 | 160.42 Mn |
| Jun 30, 2024 | 108.11 Mn |
| Mar 31, 2024 | 130.24 Mn |
| Dec 31, 2023 | 155.32 Mn |
| Sep 30, 2023 | 249.38 Mn |
| Jun 30, 2023 | 285.96 Mn |
| Mar 31, 2023 | 233.21 Mn |
| Dec 31, 2022 | 90.47 Mn |
| Sep 30, 2022 | 102.82 Mn |
| Jun 30, 2022 | 127.32 Mn |
| Mar 31, 2022 | 117.26 Mn |
| Dec 31, 2021 | 120.27 Mn |
| Sep 30, 2021 | 160.88 Mn |
Schrodinger Cash & Equivalents 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=cash-and-equivalents&ticker=SDGR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=SDGR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();