Zomedica (ZOMDF) Total Current Liabilities (2016 - 2026)
Zomedica's Total Current Liabilities was $9 million in Q2 2026, up 10.8% from $8.13 million a year earlier and up 5.2% from the prior quarter.
Zomedica (ZOMDF) Total Current Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2025, Total Current Liabilities at Zomedica came in at $9.45 million, up 1.3% from FY2024.
- Total Current Liabilities has now increased for five consecutive years, with a five-year compound annual growth rate of 36.0% (FY2020 to FY2025).
- In earlier years, Total Current Liabilities was $9.33 million in FY2024 (+3.3%), $9.03 million in FY2023 (+15.6%), $7.81 million in FY2022 (+80.0%) and $4.34 million in FY2021 (+113.9%).
- Quarterly Total Current Liabilities has moved between $4.12 million (Q1 2022) and $9.45 million (Q4 2025) over five years.
- Compared with a year earlier, Total Current Liabilities has increased for five straight quarters, with growth averaging 6.4% over the last eight quarters.
- The best year-over-year quarter for Total Current Liabilities over five years was Q3 2021 (growth of 135.3%); the worst was Q1 2025 (a decline of 7.5%).
- Per Business Quant data, ZOMDF's Total Current Liabilities in the three quarters before Q2 2026 was $8.56 million (Q1 2026), $9.45 million (Q4 2025) and $8.43 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,230.11 Bn | 1,198.70 Bn | 19.71 Bn | 47.74 Bn |
| 2 | Johnson & Johnson | 644.39 Bn | 564.25 Bn | 17.30 Bn | 55.46 Bn |
| 3 | AbbVie | 503.52 Bn | 476.68 Bn | 12.70 Bn | 41.64 Bn |
| 4 | Merck | 363.29 Bn | 317.72 Bn | 12.21 Bn | 27.73 Bn |
| 5 | Novartis Ag | 298.23 Bn | 262.62 Bn | 11.24 Bn | 31.75 Bn |
| 6 | Astrazeneca | 267.53 Bn | 241.29 Bn | 12.86 Bn | 31.55 Bn |
| 7 | Amgen | 241.80 Bn | 197.20 Bn | 7.24 Bn | 25.50 Bn |
| 8 | Gilead Sciences | 195.07 Bn | 169.19 Bn | 6.22 Bn | 11.02 Bn |
| 9 | Pfizer | 173.33 Bn | 120.28 Bn | 10.94 Bn | 32.65 Bn |
| 10 | Zomedica | 78.40 Mn | -119.63 Mn | 6.04 Mn | 9.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.00 Mn |
| Mar 31, 2026 | 8.56 Mn |
| Dec 31, 2025 | 9.45 Mn |
| Sep 30, 2025 | 8.43 Mn |
| Jun 30, 2025 | 8.13 Mn |
| Mar 31, 2025 | 7.41 Mn |
| Dec 31, 2024 | 9.33 Mn |
| Sep 30, 2024 | 8.06 Mn |
| Jun 30, 2024 | 7.84 Mn |
| Mar 31, 2024 | 8.01 Mn |
| Dec 31, 2023 | 9.03 Mn |
| Sep 30, 2023 | 6.74 Mn |
| Jun 30, 2023 | 7.21 Mn |
| Mar 31, 2023 | 8.60 Mn |
| Dec 31, 2022 | 7.81 Mn |
| Sep 30, 2022 | 7.13 Mn |
| Jun 30, 2022 | 4.47 Mn |
| Mar 31, 2022 | 4.12 Mn |
| Dec 31, 2021 | 4.34 Mn |
| Sep 30, 2021 | 4.87 Mn |
Zomedica Total 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-current-liabilities&ticker=ZOMDF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=ZOMDF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();