Spruce Biosciences (SPRB) Cash from Investing Activities (2019 - 2026)
Spruce Biosciences (SPRB) reported Cash from Investing Activities of -$135,000 for Q2 2026.
Spruce Biosciences (SPRB) Cash from Investing Activities (2019 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Spruce Biosciences' Cash from Investing Activities came in at -$145,000; for FY2023, it was $55.78 million, up 135.4% from FY2022.
- By year, Cash from Investing Activities came in at $23.69 million in FY2022, -$79.17 million in FY2021, -$74,000 in FY2020 and -$4,000 in FY2019.
- The Q2 2026 figure ranks as the lowest quarterly Cash from Investing Activities since Q3 2022.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Investing (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | -15.40 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | -1.11 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | -1.20 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | -5.60 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | -3.11 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | -2.91 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | -569.00 Mn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | -10.35 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 2.11 Bn |
| 10 | Spruce Biosciences | 125.83 Mn | 125.83 Mn | - | -135,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -135,000.00 |
| Mar 31, 2026 | -10,000.00 |
| Dec 31, 2023 | 9.30 Mn |
| Sep 30, 2023 | 13.99 Mn |
| Jun 30, 2023 | 22.00 Mn |
| Mar 31, 2023 | 10.48 Mn |
| Dec 31, 2022 | 14.57 Mn |
| Sep 30, 2022 | -16.89 Mn |
| Jun 30, 2022 | 33.51 Mn |
| Mar 31, 2022 | -7.49 Mn |
| Dec 31, 2021 | -5.98 Mn |
| Sep 30, 2021 | -12.34 Mn |
| Jun 30, 2021 | -60.83 Mn |
| Mar 31, 2021 | -19,000.00 |
| Dec 31, 2020 | -24,000.00 |
| Sep 30, 2020 | -43,000.00 |
| Dec 31, 2019 | -1,000.00 |
Spruce Biosciences Cash from Investing Activities 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-from-investing-activities&ticker=SPRB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-investing-activities", "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-from-investing-activities&ticker=SPRB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();