Spruce Biosciences (SPRB) Cash & Equivalents (2019 - 2026)
Spruce Biosciences (SPRB) recorded Cash & Equivalents of $96.3 million in Q2 2026, up 487.6% from $16.39 million a year earlier and up 78.1% from the prior quarter.
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Analysis
Spruce Biosciences (SPRB) Cash & Equivalents (2019 - 2026) Analysis & Trends
At the end of FY2025, Spruce Biosciences reported Cash & Equivalents of $48.91 million, up 26.2% from FY2024.
- Annual Cash & Equivalents has a five-year compound annual growth rate of -20.8% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $38.75 million in FY2024 (-59.8%), $96.34 million in FY2023 (+293.4%), $24.49 million in FY2022 (-42.7%) and $42.75 million in FY2021 (-72.8%).
- The Q2 2026 figure is the highest quarterly Cash & Equivalents since Q4 2023.
- On a year-over-year basis, Cash & Equivalents has increased for three consecutive quarters, with growth averaging 37.4% over the last eight quarters.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 487.6% in Q2 2026, against a decline of 84.3% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $54.08 million (Q1 2026), $48.91 million (Q4 2025) and $10.67 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | 8.95 Bn |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | 20.42 Bn |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | 6.57 Bn |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | 6.85 Bn |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | 7.62 Bn |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | 4.89 Bn |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | 13.99 Bn |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | 3.18 Bn |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | 976.00 Mn |
| 10 | Spruce Biosciences | 123.24 Mn | 123.24 Mn | - | 96.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 96.30 Mn |
| Mar 31, 2026 | 54.08 Mn |
| Dec 31, 2025 | 48.91 Mn |
| Sep 30, 2025 | 10.67 Mn |
| Jun 30, 2025 | 16.39 Mn |
| Mar 31, 2025 | 25.62 Mn |
| Dec 31, 2024 | 38.75 Mn |
| Sep 30, 2024 | 60.06 Mn |
| Jun 30, 2024 | 69.68 Mn |
| Mar 31, 2024 | 81.15 Mn |
| Dec 31, 2023 | 96.34 Mn |
| Sep 30, 2023 | 98.80 Mn |
| Jun 30, 2023 | 97.48 Mn |
| Mar 31, 2023 | 73.93 Mn |
| Dec 31, 2022 | 24.49 Mn |
| Sep 30, 2022 | 21.65 Mn |
| Jun 30, 2022 | 47.21 Mn |
| Mar 31, 2022 | 23.34 Mn |
| Dec 31, 2021 | 42.75 Mn |
| Sep 30, 2021 | 58.36 Mn |
API Access
Spruce Biosciences Cash & Equivalents 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=cash-and-equivalents&ticker=SPRB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=SPRB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();