Schrodinger (SDGR) Total Non-Current Liabilities (2019 - 2026)
Schrodinger's Total Non-Current Liabilities came in at $310.5 million for Q2 2026, down 10.1% from $345.24 million a year earlier and down 2.8% from the prior quarter.
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Analysis
Schrodinger (SDGR) Total Non-Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Schrodinger's Total Non-Current Liabilities was $360.83 million, down 10.2% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of 24.3% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $401.64 million in FY2024 (+58.3%), $253.73 million in FY2023 (+5.8%), $239.89 million in FY2022 (+20.5%) and $199.12 million in FY2021 (+63.8%).
- The Q2 2026 figure represents the lowest quarterly Total Non-Current Liabilities since Q3 2024.
- Year-over-year, Total Non-Current Liabilities has declined for three consecutive quarters, with growth averaging 24.7% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q3 2021 (growth of 275.3%), and the weakest in Q1 2026 (a decline of 13.5%).
- Business Quant data shows SDGR's Total Non-Current Liabilities at $319.5 million (Q1 2026), $360.83 million (Q4 2025) and $332.2 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 1.60 Bn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 1.15 Bn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 1.10 Bn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 2.94 Bn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 3.15 Bn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | - |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 528.94 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 2.16 Bn |
| 10 | Schrodinger | 1.94 Bn | 336.25 Mn | 32.43 Mn | 310.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 310.50 Mn |
| Mar 31, 2026 | 319.50 Mn |
| Dec 31, 2025 | 360.83 Mn |
| Sep 30, 2025 | 332.20 Mn |
| Jun 30, 2025 | 345.24 Mn |
| Mar 31, 2025 | 369.37 Mn |
| Dec 31, 2024 | 401.64 Mn |
| Sep 30, 2024 | 219.57 Mn |
| Jun 30, 2024 | 213.97 Mn |
| Mar 31, 2024 | 223.51 Mn |
| Dec 31, 2023 | 253.73 Mn |
| Sep 30, 2023 | 229.86 Mn |
| Jun 30, 2023 | 229.74 Mn |
| Mar 31, 2023 | 247.81 Mn |
| Dec 31, 2022 | 239.89 Mn |
| Sep 30, 2022 | 197.96 Mn |
| Jun 30, 2022 | 193.81 Mn |
| Mar 31, 2022 | 187.47 Mn |
| Dec 31, 2021 | 199.12 Mn |
| Sep 30, 2021 | 182.50 Mn |
API Access
Schrodinger Total Non-Current 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-non-current-liabilities&ticker=SDGR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=SDGR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();