Zoetis (ZTS) EBITDA (2012 - 2026)
Zoetis' EBITDA came in at $956 million for Q2 2026, down 9.3% from $1.05 billion a year earlier but up 17.2% from the prior quarter.
Zoetis (ZTS) EBITDA (2012 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Zoetis reported EBITDA of $2.72 billion, down 5.2% year-over-year; for FY2025, it came in at $3.93 billion, up 2.5% from FY2024.
- EBITDA has increased in each of the last 12 years, with a five-year compound annual growth rate of 7.9% (FY2020 to FY2025).
- Going back by year, EBITDA was $3.83 billion in FY2024 (+14.0%), $3.36 billion in FY2023 (+4.7%), $3.21 billion in FY2022 (+6.3%) and $3.02 billion in FY2021 (+12.4%).
- The five-year range for quarterly EBITDA is -$89 million (Q4 2024) to $1.05 billion (Q2 2025).
- Year-over-year, EBITDA increased in four of the last six quarters, with growth averaging 1.1%.
- The fastest year-over-year change in EBITDA over five years came in Q1 2024 (growth of 20.2%), and the weakest in Q2 2026 (a decline of 9.3%).
- Business Quant data shows ZTS's EBITDA at $816 million (Q1 2026), -$72 million (Q4 2025) and $1.02 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,156.56 Bn | 1,125.15 Bn | 19.71 Bn | 12.29 Bn |
| 2 | Johnson & Johnson | 624.94 Bn | 543.46 Bn | 17.26 Bn | 9.10 Bn |
| 3 | AbbVie | 510.06 Bn | 483.17 Bn | 12.70 Bn | 8.33 Bn |
| 4 | Merck | 365.20 Bn | 319.58 Bn | 12.21 Bn | 999.00 Mn |
| 5 | Novartis Ag | 296.34 Bn | 260.33 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 261.41 Bn | 235.09 Bn | 12.86 Bn | 5.09 Bn |
| 7 | Amgen | 235.14 Bn | 190.54 Bn | 7.24 Bn | 4.63 Bn |
| 8 | Gilead Sciences | 193.76 Bn | 167.96 Bn | 6.22 Bn | -9.70 Bn |
| 9 | Pfizer | 171.40 Bn | 118.04 Bn | 10.94 Bn | 5.89 Bn |
| 10 | Zoetis | 33.34 Bn | 25.19 Bn | 1.80 Bn | 1.07 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.07 Bn |
| Mar 31, 2026 | 950.00 Mn |
| Dec 31, 2025 | 961.00 Mn |
| Sep 30, 2025 | 1.09 Bn |
| Jun 30, 2025 | 1.12 Bn |
| Mar 31, 2025 | 963.00 Mn |
| Dec 31, 2024 | 920.00 Mn |
| Sep 30, 2024 | 1.07 Bn |
| Jun 30, 2024 | 1.03 Bn |
| Mar 31, 2024 | 960.00 Mn |
| Dec 31, 2023 | 864.00 Mn |
| Sep 30, 2023 | 944.00 Mn |
| Jun 30, 2023 | 984.00 Mn |
| Mar 31, 2023 | 864.00 Mn |
| Dec 31, 2022 | 842.00 Mn |
| Sep 30, 2022 | 869.00 Mn |
| Jun 30, 2022 | 879.00 Mn |
| Mar 31, 2022 | 942.00 Mn |
| Dec 31, 2021 | 749.00 Mn |
| Sep 30, 2021 | 869.00 Mn |
Zoetis EBITDA 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=ebitda&ticker=ZTS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=ZTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();