SciSparc (SPRC) Operating Expenses (2016 - 2022)
SciSparc (SPRC) reported Operating Expenses of $8.47 million for FY2025, up 35.9% from $6.23 million in FY2024.
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Analysis
SciSparc (SPRC) Operating Expenses (2016 - 2022) Analysis & Trends
Dating back to FY2015, SciSparc's Operating Expenses record includes 11 years.
- Operating Expenses has a five-year compound annual growth rate of 27.1% (FY2020 to FY2025).
- The FY2025 figure ranks as the highest annual Operating Expenses in data going back to FY2015.
- According to Business Quant data, Operating Expenses came in at $6.23 million in FY2024 (+13.6%), $5.49 million in FY2023 (-33.4%), $8.23 million in FY2022 (+42.7%) and $5.77 million in FY2021 (+126.1%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 2.09 Bn |
| 10 | SciSparc | 609,748.33 | 1.52 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2022 | 1.51 Mn |
| Jun 30, 2019 | 1.25 Mn |
| Mar 31, 2019 | 802,000.00 |
| Dec 31, 2018 | 1.57 Mn |
| Sep 30, 2018 | 1.73 Mn |
| Jun 30, 2018 | 1.65 Mn |
| Mar 31, 2018 | 1.14 Mn |
| Dec 31, 2017 | 2.57 Mn |
| Sep 30, 2017 | 1.21 Mn |
| Jun 30, 2017 | 1.43 Mn |
| Mar 31, 2017 | 405,000.00 |
| Dec 31, 2016 | 438,000.00 |
| Sep 30, 2016 | 625,000.00 |
| Jun 30, 2016 | 537,000.00 |
API Access
SciSparc Operating Expenses 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=operating-expenses&ticker=SPRC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=SPRC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();