Afya (AFYA) Price to Earnings (2019 - 2026)
Afya's (AFYA) quarterly Price to Earnings came in at 34.47 in Q2 2026, down 34.8% year-over-year from 52.88 in Q2 2025, and up 25.14% quarter-over-quarter from 27.55 in Q1 2026.
Afya (AFYA) Price to Earnings (2019 - 2026) Analysis & Trends
Afya has disclosed Price to Earnings across 8 years of filings, most recently posting 34.47 for Q2 2026.
- In Q2 2026, Price to Earnings fell 34.8% year-over-year to 34.47; the TTM figure through Jun 2026 stood at 5.94 (down 55.43% YoY), while the FY2021 annual figure was 995.56, up 51.88% from the prior year.
- Price to Earnings came in at 34.47 for Q2 2026 at Afya, up from 27.55 in the prior quarter.
- In the past five years, Price to Earnings ranged from a high of 111.3 in Q4 2022 to a low of 13.22 in Q3 2025.
- Average Price to Earnings over 5 years is 56.81, with a median of 52.49 recorded in 2025.
- Year-over-year, Price to Earnings tumbled 93.91% in 2022 and soared 69.32% in 2023.
- Over 5 years, Price to Earnings stood at 111.3 in 2022, then fell by 10.64% to 99.45 in 2023, then tumbled by 44.22% to 55.47 in 2024, then retreated by 21.66% to 43.46 in 2025, then declined by 20.67% to 34.47 in 2026.
- Per Business Quant data, the three most recent Price to Earnings figures were 34.47 in Q2 2026, 27.55 in Q1 2026, and 43.46 in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Service Corp International | 10.64 Bn | 10.38 Bn | 273.50 Mn |
| 2 | New Oriental Education & Technology | 8.69 Bn | 6.29 Bn | -19,600.00 |
| 3 | Laureate Education | 5.06 Bn | 4.90 Bn | 237.67 Mn |
| 4 | Graham Holdings | 4.89 Bn | 3.68 Bn | 777.03 Mn |
| 5 | Covista | 4.19 Bn | 3.78 Bn | 284.63 Mn |
| 6 | Valvoline | 3.67 Bn | 3.58 Bn | 214.90 Mn |
| 7 | Bright Horizons Family Solutions | 3.28 Bn | 3.11 Bn | 188.96 Mn |
| 8 | Stride | 3.26 Bn | 2.30 Bn | 217.28 Mn |
| 9 | TAL Education | 2.28 Bn | -596.06 Mn | 438.20 Mn |
| 10 | Afya | 1.23 Bn | 1.04 Bn | 118.29 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 34.47 |
| Mar 31, 2026 | 27.55 |
| Dec 31, 2025 | 43.46 |
| Sep 30, 2025 | 13.22 |
| Jun 30, 2025 | 52.88 |
| Mar 31, 2025 | 37.57 |
| Dec 31, 2024 | 55.47 |
| Sep 30, 2024 | 70.87 |
| Jun 30, 2024 | 52.11 |
| Mar 31, 2024 | 40.58 |
| Dec 31, 2023 | 99.45 |
| Sep 30, 2023 | 74.61 |
| Jun 30, 2023 | 75.87 |
| Mar 31, 2023 | 46.69 |
| Dec 31, 2022 | 111.30 |
| Sep 30, 2022 | 87.48 |
| Jun 30, 2022 | 44.81 |
| Mar 31, 2022 | 54.21 |
| Dec 31, 2021 | 181.79 |
| Sep 30, 2021 | 179.98 |
Afya Price to Earnings 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=price-to-earnings&ticker=AFYA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=AFYA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();