Zomedica (ZOMDF) Total Liabilities (2016 - 2026)
Zomedica (ZOMDF) recorded Total Liabilities of $10.74 million in Q3 2026, down 4.2% from $11.22 million a year earlier and down 1.1% from the prior quarter.
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Analysis
Zomedica (ZOMDF) Total Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2025, Zomedica reported Total Liabilities of $11.64 million, down 0.5% from FY2024.
- Annual Total Liabilities has a five-year compound annual growth rate of -5.0% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $11.7 million in FY2024 (-11.3%), $13.18 million in FY2023 (+7.9%), $12.22 million in FY2022 (+28.4%) and $9.51 million in FY2021 (-36.9%).
- Quarterly Total Liabilities has ranged from $8.95 million in Q1 2022 to $16.54 million in Q1 2023 over the past five years.
- On a year-over-year basis, Total Liabilities rose in 1 of the last eight quarters, with an average decline of 3.7%.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 204.3% in Q1 2022, against a decline of 36.9% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $10.86 million (Q2 2026), $10.59 million (Q1 2026) and $11.64 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,359.75 Bn | 1,333.37 Bn | 20.46 Bn | 107.80 Bn |
| 2 | Johnson & Johnson | 688.76 Bn | 608.62 Bn | 17.30 Bn | 115.90 Bn |
| 3 | AbbVie | 521.69 Bn | 489.75 Bn | 13.12 Bn | 152.26 Bn |
| 4 | Merck | 364.31 Bn | 327.31 Bn | 13.19 Bn | 87.83 Bn |
| 5 | Novartis Ag | 306.35 Bn | 279.93 Bn | - | - |
| 6 | Astrazeneca | 285.96 Bn | 259.56 Bn | 13.26 Bn | 68.11 Bn |
| 7 | Amgen | 251.88 Bn | 203.53 Bn | 7.58 Bn | 81.70 Bn |
| 8 | Gilead Sciences | 208.59 Bn | 183.61 Bn | 6.73 Bn | 38.37 Bn |
| 9 | Pfizer | 164.73 Bn | 112.38 Bn | 12.56 Bn | 115.70 Bn |
| 10 | Zomedica | 97.99 Mn | -87.03 Mn | 6.04 Mn | 10.74 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 10.74 Mn |
| Jun 30, 2026 | 10.86 Mn |
| Mar 31, 2026 | 10.59 Mn |
| Dec 31, 2025 | 11.64 Mn |
| Sep 30, 2025 | 11.22 Mn |
| Jun 30, 2025 | 11.12 Mn |
| Mar 31, 2025 | 10.55 Mn |
| Dec 31, 2024 | 11.70 Mn |
| Sep 30, 2024 | 11.27 Mn |
| Jun 30, 2024 | 11.16 Mn |
| Mar 31, 2024 | 11.81 Mn |
| Dec 31, 2023 | 13.18 Mn |
| Sep 30, 2023 | 14.17 Mn |
| Jun 30, 2023 | 15.30 Mn |
| Mar 31, 2023 | 16.54 Mn |
| Dec 31, 2022 | 12.22 Mn |
| Sep 30, 2022 | 13.52 Mn |
| Jun 30, 2022 | 9.26 Mn |
| Mar 31, 2022 | 8.95 Mn |
| Dec 31, 2021 | 9.51 Mn |
API Access
Zomedica Total Liabilities 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=total-liabilities&ticker=ZOMDF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=ZOMDF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();