Schrodinger (SDGR) Change in Accured Expenses (2019 - 2026)
Schrodinger (SDGR) posted Change in Accured Expenses of $6.83 million for Q2 2026, up 78.4% from $3.83 million a year earlier.
Schrodinger (SDGR) Change in Accured Expenses (2019 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Accured Expenses at Schrodinger was $6.29 million, up 527.2% year-over-year; for FY2025, it came in at -$2.85 million.
- In prior years, Schrodinger's Change in Accured Expenses was $10.35 million in FY2024 (+50.4%), $6.88 million in FY2023 (+6.2%), $6.48 million in FY2022 (+1.1%) and $6.41 million in FY2021 (+29.0%).
- Quarterly Change in Accured Expenses has run from a low of -$20.62 million in Q1 2025 to a high of $14.76 million in Q4 2024 over five years.
- On a year-over-year basis, Change in Accured Expenses increased in two of the last six quarters, with growth averaging 36.3%.
- The strongest year-over-year quarter for Change in Accured Expenses in the past five years was Q2 2022, with growth of 713.5%; the weakest was Q3 2024, with a decline of 50.8%.
- According to Business Quant data, Change in Accured Expenses for the three prior quarters was -$14.49 million (Q1 2026), $11.28 million (Q4 2025) and $2.66 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 50,912.00 |
| 2 | Veeva Systems | 45.65 Bn | 17.89 Bn | 695.95 Mn | -10.50 Mn |
| 3 | Samsara | 23.42 Bn | 20.19 Bn | 392.58 Mn | 34.27 Mn |
| 4 | Toast | 16.88 Bn | 9.55 Bn | 516.00 Mn | 57.00 Mn |
| 5 | Ptc | 16.22 Bn | 15.03 Bn | 490.47 Mn | 133.18 Mn |
| 6 | Duolingo | 13.71 Bn | 8.88 Bn | 216.74 Mn | 1.20 Mn |
| 7 | Trimble | 13.42 Bn | 12.48 Bn | 674.90 Mn | 42.10 Mn |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn | 20.69 Mn |
| 9 | Costar | 11.23 Bn | 5.20 Bn | 728.00 Mn | 33.00 Mn |
| 10 | Schrodinger | 2.00 Bn | 399.24 Mn | 32.43 Mn | 6.83 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.83 Mn |
| Mar 31, 2026 | -14.49 Mn |
| Dec 31, 2025 | 11.28 Mn |
| Sep 30, 2025 | 2.66 Mn |
| Jun 30, 2025 | 3.83 Mn |
| Mar 31, 2025 | -20.62 Mn |
| Dec 31, 2024 | 14.76 Mn |
| Sep 30, 2024 | 3.03 Mn |
| Jun 30, 2024 | 4.77 Mn |
| Mar 31, 2024 | -12.21 Mn |
| Dec 31, 2023 | 4.27 Mn |
| Sep 30, 2023 | 6.16 Mn |
| Jun 30, 2023 | 8.18 Mn |
| Mar 31, 2023 | -11.73 Mn |
| Dec 31, 2022 | 5.98 Mn |
| Sep 30, 2022 | -2.36 Mn |
| Jun 30, 2022 | 10.32 Mn |
| Mar 31, 2022 | -7.45 Mn |
| Dec 31, 2021 | 4.40 Mn |
| Sep 30, 2021 | -2.06 Mn |
Schrodinger Change in Accured Expenses 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=change-in-accured-expenses&ticker=SDGR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=SDGR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();