Spruce Biosciences (SPRB) Research & Development (2019 - 2026)
Spruce Biosciences (SPRB) recorded Research & Development of $12.16 million in Q2 2026, compared with -$430,000 a year earlier and up 60.6% from the prior quarter.
Spruce Biosciences (SPRB) Research & Development (2019 - 2026) Analysis & Trends
On a TTM basis, Spruce Biosciences' Research & Development came in at $28.85 million as of Jun 30, 2026, down 24.9% year-over-year; for FY2025, it was $19.52 million, down 57.9% from FY2024.
- Annual Research & Development has a five-year compound annual growth rate of -3.9% (FY2020 to FY2025).
- Across earlier years, Research & Development came in at $46.42 million in FY2024 (-6.1%), $49.43 million in FY2023 (+40.4%), $35.2 million in FY2022 (+14.7%) and $30.7 million in FY2021 (+28.7%).
- The Q2 2026 figure is the highest quarterly Research & Development since Q4 2024.
- On a year-over-year basis, Research & Development rose in two of the last six quarters, with an average decline of 14.6%.
- Peak year-over-year performance for Research & Development in the last five years was growth of 93.3% in Q4 2024, against a decline of 80.9% in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $7.58 million (Q1 2026), $4.1 million (Q4 2025) and $5.01 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,132.10 Bn | 1,100.69 Bn | 19.71 Bn | 3.82 Bn |
| 2 | Johnson & Johnson | 615.67 Bn | 534.20 Bn | 17.26 Bn | 3.65 Bn |
| 3 | AbbVie | 504.61 Bn | 477.72 Bn | 12.70 Bn | 2.34 Bn |
| 4 | Merck | 368.03 Bn | 322.41 Bn | 12.21 Bn | 9.74 Bn |
| 5 | Novartis Ag | 298.24 Bn | 262.23 Bn | 11.24 Bn | 2.85 Bn |
| 6 | Astrazeneca | 261.77 Bn | 235.46 Bn | 12.86 Bn | 4.05 Bn |
| 7 | Amgen | 236.17 Bn | 191.57 Bn | 7.24 Bn | 1.87 Bn |
| 8 | Gilead Sciences | 190.62 Bn | 164.81 Bn | 6.22 Bn | 1.76 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 2.81 Bn |
| 10 | Spruce Biosciences | 100.80 Mn | -109.15 Mn | - | 12.16 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.16 Mn |
| Mar 31, 2026 | 7.58 Mn |
| Dec 31, 2025 | 4.10 Mn |
| Sep 30, 2025 | 5.01 Mn |
| Jun 30, 2025 | -430,000.00 |
| Mar 31, 2025 | 10.84 Mn |
| Dec 31, 2024 | 21.46 Mn |
| Sep 30, 2024 | 6.55 Mn |
| Jun 30, 2024 | 8.09 Mn |
| Mar 31, 2024 | 10.32 Mn |
| Dec 31, 2023 | 11.10 Mn |
| Sep 30, 2023 | 13.49 Mn |
| Jun 30, 2023 | 13.13 Mn |
| Mar 31, 2023 | 11.71 Mn |
| Dec 31, 2022 | 8.84 Mn |
| Sep 30, 2022 | 8.79 Mn |
| Jun 30, 2022 | 9.06 Mn |
| Mar 31, 2022 | 8.51 Mn |
| Dec 31, 2021 | 6.26 Mn |
| Sep 30, 2021 | 8.61 Mn |
Spruce Biosciences Research & Development 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=research-and-development&ticker=SPRB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=SPRB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();