SciSparc (SPRC) Interest Expenses (2016 - 2018)
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 - 2018) 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 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | - |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 217.00 Mn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | - |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | - |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 462.00 Mn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | 435.00 Mn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 653.00 Mn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 269.00 Mn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | - |
| 10 | SciSparc | 49,990.67 | -14.39 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | 116,000.00 |
| Sep 30, 2018 | 11,000.00 |
| Jun 30, 2018 | 1,000.00 |
| Mar 31, 2018 | 2,000.00 |
| Dec 31, 2017 | 142,000.00 |
| Sep 30, 2017 | -79,000.00 |
| Jun 30, 2017 | 437,000.00 |
| 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();