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 | 1,129.78 Bn | 1,098.36 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 635.44 Bn | 555.30 Bn | 17.30 Bn | 217.00 Mn |
| 3 | AbbVie | 505.13 Bn | 478.24 Bn | 12.70 Bn | - |
| 4 | Merck | 358.57 Bn | 312.95 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 290.63 Bn | 254.62 Bn | 11.24 Bn | 462.00 Mn |
| 6 | Astrazeneca | 265.17 Bn | 238.86 Bn | 12.86 Bn | 435.00 Mn |
| 7 | Amgen | 237.97 Bn | 193.37 Bn | 7.24 Bn | 673.00 Mn |
| 8 | Gilead Sciences | 194.96 Bn | 169.16 Bn | 6.22 Bn | 247.00 Mn |
| 9 | Pfizer | 171.50 Bn | 118.15 Bn | 10.94 Bn | - |
| 10 | Zomedica | 76.93 Mn | -121.09 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();