Schrodinger (SDGR) Total Liabilities (2019 - 2026)
Schrodinger (SDGR) posted Total Liabilities of $311.44 million for Q2 2026, down 9.8% from $345.37 million a year earlier and down 2.9% from the prior quarter.
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Analysis
Schrodinger (SDGR) Total Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Schrodinger's Total Liabilities came in at $362.11 million, down 9.9% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 24.3% (FY2020 to FY2025).
- In prior years, Schrodinger's Total Liabilities was $401.78 million in FY2024 (+57.9%), $254.4 million in FY2023 (+5.7%), $240.69 million in FY2022 (+20.7%) and $199.42 million in FY2021 (+63.1%).
- The Q2 2026 figure stands as the lowest quarterly Total Liabilities since Q3 2024.
- On a year-over-year basis, Total Liabilities has declined in each of the last three quarters, with growth averaging 24.7% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q3 2021, with growth of 271.3%; the weakest was Q1 2026, with a decline of 13.2%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $320.64 million (Q1 2026), $362.11 million (Q4 2025) and $332.31 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 206,169.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 1.63 Bn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 1.17 Bn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 1.14 Bn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 3.04 Bn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 3.43 Bn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 664.21 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 541.14 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 2.19 Bn |
| 10 | Schrodinger | 1.94 Bn | 336.25 Mn | 32.43 Mn | 311.44 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 311.44 Mn |
| Mar 31, 2026 | 320.64 Mn |
| Dec 31, 2025 | 362.11 Mn |
| Sep 30, 2025 | 332.31 Mn |
| Jun 30, 2025 | 345.37 Mn |
| Mar 31, 2025 | 369.53 Mn |
| Dec 31, 2024 | 401.78 Mn |
| Sep 30, 2024 | 219.87 Mn |
| Jun 30, 2024 | 214.39 Mn |
| Mar 31, 2024 | 224.06 Mn |
| Dec 31, 2023 | 254.40 Mn |
| Sep 30, 2023 | 230.57 Mn |
| Jun 30, 2023 | 230.34 Mn |
| Mar 31, 2023 | 248.51 Mn |
| Dec 31, 2022 | 240.69 Mn |
| Sep 30, 2022 | 198.86 Mn |
| Jun 30, 2022 | 194.81 Mn |
| Mar 31, 2022 | 188.87 Mn |
| Dec 31, 2021 | 199.42 Mn |
| Sep 30, 2021 | 182.80 Mn |
API Access
Schrodinger Total Liabilities 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=total-liabilities&ticker=SDGR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=SDGR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();