SciSparc (SPRC) Interest Expenses (2016 - 2022)
SciSparc (SPRC) reported Interest Expenses of $8.2 million for FY2025, compared with $353,000 in FY2024.
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Analysis
SciSparc (SPRC) Interest Expenses (2016 - 2022) Analysis & Trends
Dating back to FY2015, SciSparc's Interest Expenses record includes 11 years.
- Interest Expenses has a five-year compound annual growth rate of 56.5% (FY2020 to FY2025).
- The FY2025 figure ranks as the highest annual Interest Expenses in data going back to FY2015.
- According to Business Quant data, Interest Expenses came in at $353,000 in FY2024 (-66.5%), $1.06 million in FY2023 (-47.6%), $2.01 million in FY2022 and $21,000 in FY2021 (-97.6%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 281.00 Mn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | - |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | - |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | -462.00 Mn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -435.00 Mn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 673.00 Mn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 247.00 Mn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | - |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | - |
| 10 | SciSparc | 586,153.17 | 7.91 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2022 | 2.00 Mn |
| Dec 31, 2018 | 116,000.00 |
| Sep 30, 2018 | 584,000.00 |
| Jun 30, 2018 | -422,000.00 |
| Mar 31, 2018 | 2,000.00 |
| Dec 31, 2017 | 142,000.00 |
| Sep 30, 2017 | -83,000.00 |
| Dec 31, 2016 | -8,000.00 |
| Sep 30, 2016 | 10,000.00 |
API Access
SciSparc Interest 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=interest-expenses&ticker=SPRC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-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=interest-expenses&ticker=SPRC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();