Schrodinger (SDGR) Receivables (2019 - 2026)
Schrodinger (SDGR) posted Receivables of $41.12 million for Q2 2026, up 11.8% from $36.78 million a year earlier but down 14.7% from the prior quarter.
Schrodinger (SDGR) Receivables (2019 - 2026) Analysis & Trends
At the end of FY2025, Schrodinger's Receivables came in at $104.39 million, down 59.1% from FY2024.
- Annual Receivables shows a five-year compound annual growth rate of 24.2% (FY2020 to FY2025).
- In prior years, Schrodinger's Receivables was $255.33 million in FY2024 (+186.5%), $89.12 million in FY2023 (+29.0%), $69.09 million in FY2022 (+70.4%) and $40.55 million in FY2021 (+14.6%).
- Quarterly Receivables has run from a low of $16.33 million in Q3 2021 to a high of $255.33 million in Q4 2024 over five years.
- On a year-over-year basis, Receivables increased in six of the last eight quarters, with growth averaging 22.8%.
- The strongest year-over-year quarter for Receivables in the past five years was Q4 2024, with growth of 186.5%; the weakest was Q4 2025, with a decline of 59.1%.
- According to Business Quant data, Receivables for the three prior quarters was $48.18 million (Q1 2026), $104.39 million (Q4 2025) and $57.4 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 1,105.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 565.65 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 337.79 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 183.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 824.11 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 598.10 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 130.98 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 218.88 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 253.00 Mn |
| 10 | Schrodinger | 1.94 Bn | 336.25 Mn | 32.43 Mn | 41.12 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 41.12 Mn |
| Mar 31, 2026 | 48.18 Mn |
| Dec 31, 2025 | 104.39 Mn |
| Sep 30, 2025 | 57.40 Mn |
| Jun 30, 2025 | 36.78 Mn |
| Mar 31, 2025 | 46.32 Mn |
| Dec 31, 2024 | 255.33 Mn |
| Sep 30, 2024 | 44.82 Mn |
| Jun 30, 2024 | 52.17 Mn |
| Mar 31, 2024 | 45.62 Mn |
| Dec 31, 2023 | 89.12 Mn |
| Sep 30, 2023 | 32.14 Mn |
| Jun 30, 2023 | 24.24 Mn |
| Mar 31, 2023 | 60.16 Mn |
| Dec 31, 2022 | 69.09 Mn |
| Sep 30, 2022 | 35.74 Mn |
| Jun 30, 2022 | 31.75 Mn |
| Mar 31, 2022 | 45.59 Mn |
| Dec 31, 2021 | 40.55 Mn |
| Sep 30, 2021 | 16.33 Mn |
Schrodinger Receivables 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=receivables&ticker=SDGR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=SDGR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();