Afya (AFYA) Shares Outstanding (Diluted) (2017 - 2026)
Afya's Weighted Average Shares Outstanding (Diluted) came in at 91.27 million for Q2 2026, up 0.1% from 91.15 million a year earlier and unchanged from the prior quarter.
Afya (AFYA) Shares Outstanding (Diluted) (2017 - 2026) Analysis & Trends
Going back to Q4 2017, Afya's Weighted Average Shares Outstanding (Diluted) data covers 34 quarters.
- Weighted Average Shares Outstanding (Diluted) carries a five-year compound annual growth rate of -0.5% (FY2020 to FY2025).
- Going back by year, Weighted Average Shares Outstanding (Diluted) was 91.15 million in FY2024 (+0.7%), 90.54 million in FY2023 (-0.1%), 90.66 million in FY2022 (-3.7%) and 94.1 million in FY2021 (+0.5%).
- The five-year range for quarterly Weighted Average Shares Outstanding (Diluted) is 90.54 million (Q4 2023) to 94.1 million (Q3 2022).
- Year-over-year, Weighted Average Shares Outstanding (Diluted) has increased for seven consecutive quarters, with growth averaging 0.4% over the last eight quarters.
- The fastest year-over-year change in Weighted Average Shares Outstanding (Diluted) over five years came in Q3 2021 (growth of 22.9%), and the weakest in Q4 2022 (a decline of 3.7%).
- Business Quant data shows AFYA's Weighted Average Shares Outstanding (Diluted) at 91.27 million (Q1 2026), 91.27 million (Q4 2025) and 91.15 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Service Corp International | 10.50 Bn | 9.57 Bn | 272.27 Mn | 137.23 Mn |
| 2 | New Oriental Education & Technology | 8.07 Bn | -2.95 Bn | 20,000.00 | 157.85 Mn |
| 3 | TAL Education | 6.08 Bn | -6.40 Bn | 594.64 Mn | 578.78 Mn |
| 4 | Graham Holdings | 5.21 Bn | 307.76 Mn | 392.25 Mn | 4.31 Mn |
| 5 | Laureate Education | 4.77 Bn | 4.12 Bn | 131.69 Mn | 139.94 Mn |
| 6 | Valvoline | 4.62 Bn | 4.33 Bn | 214.90 Mn | 128.40 Mn |
| 7 | Covista | 4.17 Bn | 3.34 Bn | 290.78 Mn | 34.57 Mn |
| 8 | Stride | 3.33 Bn | 151.03 Mn | 241.12 Mn | 44.83 Mn |
| 9 | Onespaworld Holdings | 3.13 Bn | 3.03 Bn | 49.70 Mn | 101.86 Mn |
| 10 | Afya | 950.00 Mn | -220.15 Mn | 118.29 Mn | 91.27 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 91.27 Mn |
| Mar 31, 2026 | 91.27 Mn |
| Dec 31, 2025 | 91.27 Mn |
| Sep 30, 2025 | 91.15 Mn |
| Jun 30, 2025 | 91.15 Mn |
| Mar 31, 2025 | 91.15 Mn |
| Dec 31, 2024 | 91.15 Mn |
| Sep 30, 2024 | 90.54 Mn |
| Jun 30, 2024 | 90.54 Mn |
| Mar 31, 2024 | 90.54 Mn |
| Dec 31, 2023 | 90.54 Mn |
| Sep 30, 2023 | 90.66 Mn |
| Jun 30, 2023 | 90.66 Mn |
| Mar 31, 2023 | 90.66 Mn |
| Dec 31, 2022 | 90.66 Mn |
| Sep 30, 2022 | 94.10 Mn |
| Jun 30, 2022 | 94.10 Mn |
| Mar 31, 2022 | 94.10 Mn |
| Dec 31, 2021 | 94.10 Mn |
| Sep 30, 2021 | 93.64 Mn |
Afya 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=AFYA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "AFYA", "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=AFYA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();