Zomedica (ZOMDF) Interest Expenses (2019 - 2023)
Zomedica's Interest Expenses came in at $175,000 for FY2023, compared with $1,000 in FY2022.
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Analysis
Zomedica (ZOMDF) Interest Expenses (2019 - 2023) Analysis & Trends
Going back to FY2019, Zomedica's Interest Expenses data covers 5 years.
- Interest Expenses carries a four-year compound annual growth rate of 75.8% (FY2019 to FY2023).
- The FY2023 figure represents the highest annual Interest Expenses in data going back to FY2019.
- Per Business Quant, earlier years put Interest Expenses at $1,000 in FY2022 (-83.3%), $6,000 in FY2021 (+719.7%), $732.00 in FY2020 (-96.0%) and $18,338 in FY2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,230.11 Bn | 1,198.70 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 644.39 Bn | 564.25 Bn | 17.30 Bn | 217.00 Mn |
| 3 | AbbVie | 503.52 Bn | 476.68 Bn | 12.70 Bn | - |
| 4 | Merck | 363.29 Bn | 317.72 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 298.23 Bn | 262.62 Bn | 11.24 Bn | 462.00 Mn |
| 6 | Astrazeneca | 267.53 Bn | 241.29 Bn | 12.86 Bn | 435.00 Mn |
| 7 | Amgen | 241.80 Bn | 197.20 Bn | 7.24 Bn | 673.00 Mn |
| 8 | Gilead Sciences | 195.07 Bn | 169.19 Bn | 6.22 Bn | 247.00 Mn |
| 9 | Pfizer | 173.33 Bn | 120.28 Bn | 10.94 Bn | - |
| 10 | Zomedica | 78.40 Mn | -119.63 Mn | 6.04 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | 64,000.00 |
| Jun 30, 2023 | 62,000.00 |
| Mar 31, 2023 | 50,000.00 |
| Dec 31, 2021 | -54.00 |
| Jun 30, 2021 | 6,054.00 |
| Mar 31, 2020 | 651.00 |
| Jun 30, 2019 | 12,164.00 |
| Mar 31, 2019 | 6,174.00 |
API Access
Zomedica 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=ZOMDF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "ZOMDF", "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=ZOMDF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();