Spruce Biosciences (SPRB) Assets (2019 - 2026)
Spruce Biosciences (SPRB) posted Assets of $102.85 million for Q2 2026, up 371.4% from $21.82 million a year earlier and up 83.1% from the prior quarter.
Spruce Biosciences (SPRB) Assets (2019 - 2026) Analysis & Trends
At the end of FY2025, Spruce Biosciences' Assets came in at $53.02 million, up 17.3% from FY2024.
- Annual Assets shows a five-year compound annual growth rate of -20.1% (FY2020 to FY2025).
- In prior years, Spruce Biosciences' Assets was $45.21 million in FY2024 (-56.5%), $103.95 million in FY2023 (+21.4%), $85.65 million in FY2022 (-32.3%) and $126.49 million in FY2021 (-22.3%).
- The Q2 2026 figure stands as the highest quarterly Assets since Q4 2023.
- On a year-over-year basis, Assets has increased in each of the last three quarters, with growth averaging 19.5% over the last eight quarters.
- The strongest year-over-year quarter for Assets in the past five years was Q2 2026, with growth of 371.4%; the weakest was Q3 2025, with a decline of 76.5%.
- According to Business Quant data, Assets for the three prior quarters was $56.17 million (Q1 2026), $53.02 million (Q4 2025) and $15.31 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 201.06 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 135.12 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 129.80 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 122.03 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 115.83 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 95.64 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 49.36 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 201.13 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 27.42 Bn |
| 10 | Spruce Biosciences | 130.79 Mn | 130.79 Mn | - | 102.85 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 102.85 Mn |
| Mar 31, 2026 | 56.17 Mn |
| Dec 31, 2025 | 53.02 Mn |
| Sep 30, 2025 | 15.31 Mn |
| Jun 30, 2025 | 21.82 Mn |
| Mar 31, 2025 | 31.65 Mn |
| Dec 31, 2024 | 45.21 Mn |
| Sep 30, 2024 | 65.10 Mn |
| Jun 30, 2024 | 75.52 Mn |
| Mar 31, 2024 | 87.54 Mn |
| Dec 31, 2023 | 103.95 Mn |
| Sep 30, 2023 | 112.99 Mn |
| Jun 30, 2023 | 125.96 Mn |
| Mar 31, 2023 | 139.11 Mn |
| Dec 31, 2022 | 85.65 Mn |
| Sep 30, 2022 | 95.30 Mn |
| Jun 30, 2022 | 104.52 Mn |
| Mar 31, 2022 | 114.99 Mn |
| Dec 31, 2021 | 126.49 Mn |
| Sep 30, 2021 | 135.09 Mn |
Spruce Biosciences Assets 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=assets&ticker=SPRB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "ticker": "SPRB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=assets&ticker=SPRB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();