Zoetis (ZTS) Accumulated Expenses (2013 - 2025)
Zoetis (ZTS) posted Accumulated Expenses of $852 million for Q4 2025, up 14.2% from $746 million a year earlier.
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Analysis
Zoetis (ZTS) Accumulated Expenses (2013 - 2025) Analysis & Trends
Since Q4 2013, Zoetis has reported Accumulated Expenses for 13 quarters.
- Annual Accumulated Expenses has increased for three consecutive years, with a five-year compound annual growth rate of 8.9% (FY2020 to FY2025).
- In prior years, Zoetis' Accumulated Expenses was $746 million in FY2024 (+9.2%), $683 million in FY2023 (+0.1%), $682 million in FY2022 (-3.9%) and $710 million in FY2021 (+27.7%).
- The Q4 2025 figure stands as the highest quarterly Accumulated Expenses in data going back to Q4 2013.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | Zoetis | 28.92 Bn | 20.77 Bn | 1.05 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 852.00 Mn |
| Dec 31, 2024 | 746.00 Mn |
| Dec 31, 2023 | 683.00 Mn |
| Dec 31, 2022 | 682.00 Mn |
| Dec 31, 2021 | 710.00 Mn |
| Dec 31, 2020 | 556.00 Mn |
| Dec 31, 2019 | 543.00 Mn |
| Dec 31, 2018 | 487.00 Mn |
| Dec 31, 2017 | 432.00 Mn |
| Dec 31, 2016 | 464.00 Mn |
| Dec 31, 2015 | 676.00 Mn |
| Dec 31, 2014 | 475.00 Mn |
| Dec 31, 2013 | 570.00 Mn |
API Access
Zoetis Accumulated Expenses 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=accumulated-expenses&ticker=ZTS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=ZTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();