Zomedica (ZOMDF) Total Non-Current Liabilities (2020 - 2026)
Zomedica (ZOMDF) reported Total Non-Current Liabilities of $10.35 million for Q3 2026, down 3.7% from $10.75 million a year earlier and down 1.0% from the prior quarter.
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Analysis
Zomedica (ZOMDF) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Zomedica posted Total Non-Current Liabilities of $11.18 million, down 1.1% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of 59.3% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $11.3 million in FY2024 (-7.7%), $12.24 million in FY2023 (+18.4%), $10.34 million in FY2022 (+12.9%) and $9.15 million in FY2021 (+741.3%).
- Five-year quarterly Total Non-Current Liabilities spans a low of $8.56 million in Q1 2022 and a high of $14.58 million in Q1 2023.
- Year over year, Total Non-Current Liabilities gained in three of the last eight quarters, with an average decline of 2.0%.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q3 2022 (growth of 945.2%); the low point was Q1 2024 (a decline of 25.2%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $10.46 million (Q2 2026), $10.17 million (Q1 2026) and $11.18 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,359.75 Bn | 1,333.37 Bn | 20.46 Bn | 60.81 Bn |
| 2 | Johnson & Johnson | 688.76 Bn | 608.62 Bn | 17.30 Bn | 102.65 Bn |
| 3 | AbbVie | 521.69 Bn | 489.75 Bn | 13.12 Bn | 117.60 Bn |
| 4 | Merck | 364.31 Bn | 327.31 Bn | 13.19 Bn | 79.95 Bn |
| 5 | Novartis Ag | 306.35 Bn | 279.93 Bn | - | - |
| 6 | Astrazeneca | 285.96 Bn | 259.56 Bn | 13.26 Bn | -36.84 Bn |
| 7 | Amgen | 251.88 Bn | 203.53 Bn | 7.58 Bn | 76.12 Bn |
| 8 | Gilead Sciences | 208.59 Bn | 183.61 Bn | 6.73 Bn | 36.05 Bn |
| 9 | Pfizer | 164.73 Bn | 112.38 Bn | 12.56 Bn | 96.04 Bn |
| 10 | Zomedica | 97.99 Mn | -87.03 Mn | 6.04 Mn | 10.35 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 10.35 Mn |
| Jun 30, 2026 | 10.46 Mn |
| Mar 31, 2026 | 10.17 Mn |
| Dec 31, 2025 | 11.18 Mn |
| Sep 30, 2025 | 10.75 Mn |
| Jun 30, 2025 | 10.66 Mn |
| Mar 31, 2025 | 10.10 Mn |
| Dec 31, 2024 | 11.30 Mn |
| Sep 30, 2024 | 10.46 Mn |
| Jun 30, 2024 | 10.43 Mn |
| Mar 31, 2024 | 10.90 Mn |
| Dec 31, 2023 | 12.24 Mn |
| Sep 30, 2023 | 12.74 Mn |
| Jun 30, 2023 | 13.12 Mn |
| Mar 31, 2023 | 14.58 Mn |
| Dec 31, 2022 | 10.34 Mn |
| Sep 30, 2022 | 10.65 Mn |
| Jun 30, 2022 | 8.87 Mn |
| Mar 31, 2022 | 8.56 Mn |
| Dec 31, 2021 | 9.15 Mn |
API Access
Zomedica Total Non-Current 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-non-current-liabilities&ticker=ZOMDF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=ZOMDF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();