Zomedica (ZOMDF) Accumulated Expenses (2023 - 2026)
Zomedica (ZOMDF) recorded Accumulated Expenses of $6.14 million in Q2 2026, up 24.6% from $4.93 million a year earlier and up 20.4% from the prior quarter.
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Analysis
Zomedica (ZOMDF) Accumulated Expenses (2023 - 2026) Analysis & Trends
At the end of FY2025, Zomedica reported Accumulated Expenses of $6.39 million, down 0.6% from FY2024.
- Across earlier years, Accumulated Expenses came in at $6.43 million in FY2024 (+12.7%) and $5.71 million in FY2023.
- Quarterly Accumulated Expenses has ranged from $3.98 million in Q1 2025 to $6.43 million in Q4 2024 over the past five years.
- On a year-over-year basis, Accumulated Expenses rose in five of the last six quarters, with growth averaging 16.6%.
- Per Business Quant, the preceding three quarters came in at $5.1 million (Q1 2026), $6.39 million (Q4 2025) and $5.68 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,199.50 Bn | 1,168.08 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 635.17 Bn | 555.03 Bn | 17.30 Bn |
| 3 | AbbVie | 504.69 Bn | 477.85 Bn | 12.70 Bn |
| 4 | Merck | 358.43 Bn | 312.86 Bn | 12.21 Bn |
| 5 | Novartis Ag | 288.36 Bn | 252.75 Bn | 11.24 Bn |
| 6 | Astrazeneca | 265.78 Bn | 239.54 Bn | 12.86 Bn |
| 7 | Amgen | 237.46 Bn | 192.86 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 193.65 Bn | 167.76 Bn | 6.22 Bn |
| 9 | Pfizer | 171.05 Bn | 118.00 Bn | 10.94 Bn |
| 10 | Zomedica | 78.40 Mn | -119.63 Mn | 6.04 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.14 Mn |
| Mar 31, 2026 | 5.10 Mn |
| Dec 31, 2025 | 6.39 Mn |
| Sep 30, 2025 | 5.68 Mn |
| Jun 30, 2025 | 4.93 Mn |
| Mar 31, 2025 | 3.98 Mn |
| Dec 31, 2024 | 6.43 Mn |
| Sep 30, 2024 | 4.67 Mn |
| Jun 30, 2024 | 4.37 Mn |
| Dec 31, 2023 | 5.71 Mn |
API Access
Zomedica Accumulated 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=accumulated-expenses&ticker=ZOMDF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=ZOMDF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();