Schrodinger (SDGR) Total Current Liabilities (2019 - 2026)
Schrodinger (SDGR) posted Total Current Liabilities of $173.85 million for Q2 2026, up 11.6% from $155.77 million a year earlier and up 2.5% from the prior quarter.
Schrodinger (SDGR) Total Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Schrodinger's Total Current Liabilities came in at $189.14 million, down 1.4% from FY2024.
- Annual Total Current Liabilities shows a five-year compound annual growth rate of 20.9% (FY2020 to FY2025).
- In prior years, Schrodinger's Total Current Liabilities was $191.75 million in FY2024 (+43.4%), $133.67 million in FY2023 (+22.9%), $108.8 million in FY2022 (+19.3%) and $91.21 million in FY2021 (+24.6%).
- Quarterly Total Current Liabilities has run from a low of $72.92 million in Q3 2021 to a high of $191.75 million in Q4 2024 over five years.
- On a year-over-year basis, Total Current Liabilities increased in seven of the last eight quarters, with growth averaging 25.5%.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q3 2021, with growth of 85.7%; the weakest was Q1 2024, with a decline of 13.7%.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $169.54 million (Q1 2026), $189.14 million (Q4 2025) and $145.11 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 206,170.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 1.46 Bn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 968.09 Mn |
| 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 | 1.34 Bn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 1.41 Bn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 577.83 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 475.05 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 747.00 Mn |
| 10 | Schrodinger | 1.94 Bn | 336.25 Mn | 32.43 Mn | 173.85 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 173.85 Mn |
| Mar 31, 2026 | 169.54 Mn |
| Dec 31, 2025 | 189.14 Mn |
| Sep 30, 2025 | 145.11 Mn |
| Jun 30, 2025 | 155.77 Mn |
| Mar 31, 2025 | 165.47 Mn |
| Dec 31, 2024 | 191.75 Mn |
| Sep 30, 2024 | 111.12 Mn |
| Jun 30, 2024 | 99.76 Mn |
| Mar 31, 2024 | 106.51 Mn |
| Dec 31, 2023 | 133.67 Mn |
| Sep 30, 2023 | 105.04 Mn |
| Jun 30, 2023 | 106.80 Mn |
| Mar 31, 2023 | 123.41 Mn |
| Dec 31, 2022 | 108.80 Mn |
| Sep 30, 2022 | 88.82 Mn |
| Jun 30, 2022 | 85.59 Mn |
| Mar 31, 2022 | 85.53 Mn |
| Dec 31, 2021 | 91.21 Mn |
| Sep 30, 2021 | 72.92 Mn |
Schrodinger Total 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-current-liabilities&ticker=SDGR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=SDGR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();