SciSparc (SPRC) Net Cash Flow (2016 - 2018)
SciSparc's Net Cash Flow came in at $3.05 million for FY2025, compared with -$536,000 in FY2024.
Analysis
SciSparc (SPRC) Net Cash Flow (2016 - 2018) Analysis & Trends
Going back to FY2015, SciSparc's Net Cash Flow data covers 11 years.
- Net Cash Flow carries a five-year compound annual growth rate of 23.2% (FY2020 to FY2025).
- The FY2025 figure represents the highest annual Net Cash Flow since FY2021.
- Per Business Quant, earlier years put Net Cash Flow at -$536,000 in FY2024, -$1.5 million in FY2023, -$3.3 million in FY2022 and $4.93 million in FY2021 (+358.1%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | NCF (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | -1.27 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | -2.82 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 1.53 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 757.00 Mn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 1.62 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 1.95 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | -4.43 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | -722.00 Mn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 652.90 Mn |
| 10 | SciSparc | 609,748.33 | 1.52 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | -1.14 Mn |
| Sep 30, 2018 | -2.54 Mn |
| Jun 30, 2018 | -2.34 Mn |
| Mar 31, 2018 | -1.68 Mn |
| Dec 31, 2017 | -1.60 Mn |
| Sep 30, 2017 | -925,000.00 |
| Jun 30, 2017 | 34,000.00 |
| Mar 31, 2017 | 11.03 Mn |
| Dec 31, 2016 | -559,000.00 |
| Sep 30, 2016 | 414,000.00 |
| Jun 30, 2016 | -430,000.00 |
API Access
SciSparc Net Cash Flow 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=net-cash-flow&ticker=SPRC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-cash-flow", "ticker": "SPRC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=net-cash-flow&ticker=SPRC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();