Zomedica (ZOMDF) Operating Expenses (2017 - 2026)
Zomedica's Operating Expenses was $6.45 million in Q2 2026, down 19.9% from $8.05 million a year earlier and down 1.8% from the prior quarter.
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Analysis
Zomedica (ZOMDF) Operating Expenses (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, Zomedica's Operating Expenses was $28.52 million through Jun 30, 2026, down 14.1% year-over-year; for FY2025, it came in at $31.66 million, down 14.3% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 13.2% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $36.92 million in FY2024 (+6.2%), $34.77 million in FY2023 (+36.3%), $25.51 million in FY2022 (+4.4%) and $24.43 million in FY2021 (+43.1%).
- The Q2 2026 figure marks the lowest quarterly Operating Expenses since Q4 2022.
- Compared with a year earlier, Operating Expenses has declined for seven straight quarters, with an average decline of 12.7% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q4 2021 (growth of 110.0%); the worst was Q4 2022 (a decline of 32.7%).
- Per Business Quant data, ZOMDF's Operating Expenses in the three quarters before Q2 2026 was $6.57 million (Q1 2026), $7.82 million (Q4 2025) and $7.68 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,230.11 Bn | 1,198.70 Bn | 19.71 Bn | 7.95 Bn |
| 2 | Johnson & Johnson | 644.39 Bn | 564.25 Bn | 17.30 Bn | 11.12 Bn |
| 3 | AbbVie | 503.52 Bn | 476.68 Bn | 12.70 Bn | 10.56 Bn |
| 4 | Merck | 363.29 Bn | 317.72 Bn | 12.21 Bn | 12.80 Bn |
| 5 | Novartis Ag | 298.23 Bn | 262.62 Bn | 11.24 Bn | 6.09 Bn |
| 6 | Astrazeneca | 267.53 Bn | 241.29 Bn | 12.86 Bn | 9.70 Bn |
| 7 | Amgen | 241.80 Bn | 197.20 Bn | 7.24 Bn | 6.54 Bn |
| 8 | Gilead Sciences | 195.07 Bn | 169.19 Bn | 6.22 Bn | 18.20 Bn |
| 9 | Pfizer | 173.33 Bn | 120.28 Bn | 10.94 Bn | 6.68 Bn |
| 10 | Zomedica | 78.40 Mn | -119.63 Mn | 6.04 Mn | 6.45 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.45 Mn |
| Mar 31, 2026 | 6.57 Mn |
| Dec 31, 2025 | 7.82 Mn |
| Sep 30, 2025 | 7.68 Mn |
| Jun 30, 2025 | 8.05 Mn |
| Mar 31, 2025 | 8.12 Mn |
| Dec 31, 2024 | 8.44 Mn |
| Sep 30, 2024 | 8.61 Mn |
| Jun 30, 2024 | 9.48 Mn |
| Mar 31, 2024 | 10.40 Mn |
| Dec 31, 2023 | 12.15 Mn |
| Sep 30, 2023 | 6.98 Mn |
| Jun 30, 2023 | 7.71 Mn |
| Mar 31, 2023 | 11.35 Mn |
| Dec 31, 2022 | 5.94 Mn |
| Sep 30, 2022 | 6.37 Mn |
| Jun 30, 2022 | 8.89 Mn |
| Mar 31, 2022 | 7.05 Mn |
| Dec 31, 2021 | 8.83 Mn |
| Sep 30, 2021 | 6.41 Mn |
API Access
Zomedica 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=ZOMDF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=ZOMDF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();