Schrodinger (SDGR) Non-Current Assets (2019 - 2026)
Schrodinger's Non-Current Assets was $169.92 million in Q2 2026, down 2.5% from $174.25 million a year earlier and down 0.2% from the prior quarter.
Schrodinger (SDGR) Non-Current Assets (2019 - 2026) Analysis & Trends
At the end of FY2025, Non-Current Assets at Schrodinger came in at $206.9 million, up 9.9% from FY2024.
- Non-Current Assets shows a five-year compound annual growth rate of 26.7% (FY2020 to FY2025).
- In earlier years, Non-Current Assets was $188.23 million in FY2024 (-20.0%), $235.16 million in FY2023 (+52.1%), $154.6 million in FY2022 (+17.6%) and $131.43 million in FY2021 (+107.7%).
- The Q2 2026 figure marks the lowest quarterly Non-Current Assets since Q4 2022.
- Compared with a year earlier, Non-Current Assets was higher in 1 of the last eight quarters, with an average decline of 12.3%.
- The best year-over-year quarter for Non-Current Assets over five years was Q3 2021 (growth of 138.3%); the worst was Q1 2025 (a decline of 29.5%).
- Per Business Quant data, SDGR's Non-Current Assets in the three quarters before Q2 2026 was $170.23 million (Q1 2026), $206.9 million (Q4 2025) and $181.94 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 1.11 Bn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 1.20 Bn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 531.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 5.14 Bn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 7.20 Bn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 502.84 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 231.59 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 8.49 Bn |
| 10 | Schrodinger | 1.94 Bn | 336.25 Mn | 32.43 Mn | 169.92 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 169.92 Mn |
| Mar 31, 2026 | 170.23 Mn |
| Dec 31, 2025 | 206.90 Mn |
| Sep 30, 2025 | 181.94 Mn |
| Jun 30, 2025 | 174.25 Mn |
| Mar 31, 2025 | 172.09 Mn |
| Dec 31, 2024 | 188.23 Mn |
| Sep 30, 2024 | 212.90 Mn |
| Jun 30, 2024 | 239.19 Mn |
| Mar 31, 2024 | 244.08 Mn |
| Dec 31, 2023 | 235.16 Mn |
| Sep 30, 2023 | 246.39 Mn |
| Jun 30, 2023 | 249.60 Mn |
| Mar 31, 2023 | 235.04 Mn |
| Dec 31, 2022 | 154.60 Mn |
| Sep 30, 2022 | 137.78 Mn |
| Jun 30, 2022 | 131.01 Mn |
| Mar 31, 2022 | 133.37 Mn |
| Dec 31, 2021 | 131.43 Mn |
| Sep 30, 2021 | 140.59 Mn |
Schrodinger Non-Current Assets 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=non-current-assets&ticker=SDGR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=SDGR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();