Zoetis (ZTS) Total Non-Current Liabilities (2012 - 2026)
Zoetis (ZTS) recorded Total Non-Current Liabilities of $11.64 billion in Q2 2026, up 28.7% from $9.05 billion a year earlier and unchanged from the prior quarter.
Zoetis (ZTS) Total Non-Current Liabilities (2012 - 2026) Analysis & Trends
At the end of FY2025, Zoetis reported Total Non-Current Liabilities of $11.8 billion, up 29.4% from FY2024.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of 4.3% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $9.12 billion in FY2024 (+0.9%), $9.04 billion in FY2023 (-11.9%), $10.26 billion in FY2022 (+12.8%) and $9.1 billion in FY2021 (-4.9%).
- Quarterly Total Non-Current Liabilities has ranged from $8.77 billion in Q3 2021 to $11.8 billion in Q4 2025 over the past five years.
- On a year-over-year basis, Total Non-Current Liabilities has increased for five consecutive quarters, with growth averaging 12.2% over the last eight quarters.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 30.0% in Q1 2026, against a decline of 11.9% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $11.64 billion (Q1 2026), $11.8 billion (Q4 2025) and $9.49 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 60.66 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 105.50 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 106.45 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 80.25 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 48.34 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 33.91 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 78.66 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 35.10 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 97.04 Bn |
| 10 | Zoetis | 33.22 Bn | 25.07 Bn | 1.80 Bn | 11.42 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.42 Bn |
| Mar 31, 2026 | 11.42 Bn |
| Dec 31, 2025 | 11.55 Bn |
| Sep 30, 2025 | 9.23 Bn |
| Jun 30, 2025 | 8.78 Bn |
| Mar 31, 2025 | 8.74 Bn |
| Dec 31, 2024 | 8.90 Bn |
| Sep 30, 2024 | 8.63 Bn |
| Jun 30, 2024 | 8.72 Bn |
| Mar 31, 2024 | 8.79 Bn |
| Dec 31, 2023 | 8.80 Bn |
| Sep 30, 2023 | 8.51 Bn |
| Jun 30, 2023 | 8.63 Bn |
| Mar 31, 2023 | 8.79 Bn |
| Dec 31, 2022 | 10.05 Bn |
| Sep 30, 2022 | 8.53 Bn |
| Jun 30, 2022 | 8.71 Bn |
| Mar 31, 2022 | 8.71 Bn |
| Dec 31, 2021 | 8.86 Bn |
| Sep 30, 2021 | 8.51 Bn |
Zoetis 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=ZTS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "ZTS", "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=ZTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();