Zoetis (ZTS) Shares Outstanding (Diluted) (2012 - 2026)
Zoetis (ZTS) recorded Shares Outstanding (Diluted) of 417.7 million in Q2 2026, down 6.2% from 445.5 million a year earlier and down 1.1% from the prior quarter.
Zoetis (ZTS) Shares Outstanding (Diluted) (2012 - 2026) Analysis & Trends
For FY2025, Zoetis reported Shares Outstanding (Diluted) of 443.84 million, down 2.4% from FY2024.
- Annual Shares Outstanding (Diluted) has declined for ten straight years, with a five-year compound annual growth rate of -1.5% (FY2020 to FY2025).
- Across earlier years, Shares Outstanding (Diluted) came in at 454.85 million in FY2024 (-1.6%), 462.27 million in FY2023 (-1.7%), 470.39 million in FY2022 (-1.3%) and 476.72 million in FY2021 (-0.4%).
- The Q2 2026 figure is the lowest quarterly Shares Outstanding (Diluted) in data going back to Q1 2012.
- On a year-over-year basis, Shares Outstanding (Diluted) has declined for 42 consecutive quarters, with an average decline of 3.1% over the last eight quarters.
- Over the past five years, the year-over-year decline in Shares Outstanding (Diluted) ranged from 0.4% (Q4 2021) to 6.2% (Q2 2026).
- Per Business Quant, the preceding three quarters came in at 422.4 million (Q1 2026), 443.84 million (Q4 2025) and 443.2 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 2.44 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 1.77 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 2.47 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 1.96 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 1.56 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 544.00 Mn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 1.24 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 5.70 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 255.20 Mn |
| 10 | Zoetis | 28.92 Bn | 20.77 Bn | 1.05 Bn | 417.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 417.70 Mn |
| Mar 31, 2026 | 422.40 Mn |
| Dec 31, 2025 | 443.84 Mn |
| Sep 30, 2025 | 443.20 Mn |
| Jun 30, 2025 | 445.50 Mn |
| Mar 31, 2025 | 448.00 Mn |
| Dec 31, 2024 | 454.85 Mn |
| Sep 30, 2024 | 453.50 Mn |
| Jun 30, 2024 | 456.00 Mn |
| Mar 31, 2024 | 458.80 Mn |
| Dec 31, 2023 | 462.27 Mn |
| Sep 30, 2023 | 461.40 Mn |
| Jun 30, 2023 | 462.90 Mn |
| Mar 31, 2023 | 464.60 Mn |
| Dec 31, 2022 | 470.39 Mn |
| Sep 30, 2022 | 469.10 Mn |
| Jun 30, 2022 | 471.50 Mn |
| Mar 31, 2022 | 474.10 Mn |
| Dec 31, 2021 | 476.72 Mn |
| Sep 30, 2021 | 476.30 Mn |
Zoetis Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=ZTS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=ZTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();