Afya (AFYA) Income After Tax (2018 - 2026)
Afya's Income After Tax was $39.64 million in Q2 2026, up 27.6% from $31.06 million a year earlier but down 33.1% from the prior quarter.
Afya (AFYA) Income After Tax (2018 - 2026) Analysis & Trends
On a trailing twelve-month basis, Afya's Income After Tax was $249.86 million through Jun 30, 2026, up 100.5% year-over-year; for FY2025, it was $146.93 million, up 21.3% from FY2024.
- Income After Tax has now increased for four consecutive years, with a five-year compound annual growth rate of 19.4% (FY2020 to FY2025).
- In earlier years, Income After Tax was $121.1 million in FY2024 (+49.1%), $81.25 million in FY2023 (+6.6%), $76.22 million in FY2022 (+69.4%) and $44.99 million in FY2021 (-25.6%).
- Quarterly Income After Tax has moved between $7.13 million (Q4 2023) and $112.99 million (Q3 2025) over five years.
- Compared with a year earlier, Income After Tax has increased for four straight quarters, with growth averaging 84.6% over the last eight quarters.
- The best year-over-year quarter for Income After Tax over five years was Q3 2025 (growth of 348.2%); the worst was Q4 2023 (a decline of 68.0%).
- Per Business Quant data, AFYA's Income After Tax in the three quarters before Q2 2026 was $59.3 million (Q1 2026), $37.93 million (Q4 2025) and $112.99 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Income After Tax (Qtr) |
|---|---|---|---|---|---|
| 1 | Service Corp International | 10.06 Bn | 9.12 Bn | 272.27 Mn | 141.32 Mn |
| 2 | New Oriental Education & Technology | 8.68 Bn | -2.70 Bn | 20,000.00 | 479.81 Mn |
| 3 | TAL Education | 5.79 Bn | -6.69 Bn | 594.64 Mn | 54.33 Mn |
| 4 | Graham Holdings | 5.18 Bn | 243.01 Mn | 392.25 Mn | 77.24 Mn |
| 5 | Laureate Education | 4.67 Bn | 4.02 Bn | 131.69 Mn | 101.22 Mn |
| 6 | Valvoline | 4.45 Bn | 4.16 Bn | 214.90 Mn | 65.00 Mn |
| 7 | Covista | 3.73 Bn | 2.90 Bn | 290.78 Mn | 71.48 Mn |
| 8 | Onespaworld Holdings | 3.16 Bn | 3.05 Bn | 49.70 Mn | 28.24 Mn |
| 9 | Stride | 3.11 Bn | -66.08 Mn | 241.12 Mn | 65.00 Mn |
| 10 | Afya | 948.64 Mn | -229.27 Mn | 118.29 Mn | 39.64 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 39.64 Mn |
| Mar 31, 2026 | 59.30 Mn |
| Dec 31, 2025 | 37.93 Mn |
| Sep 30, 2025 | 112.99 Mn |
| Jun 30, 2025 | 31.06 Mn |
| Mar 31, 2025 | 46.87 Mn |
| Dec 31, 2024 | 21.45 Mn |
| Sep 30, 2024 | 25.21 Mn |
| Jun 30, 2024 | 32.38 Mn |
| Mar 31, 2024 | 46.52 Mn |
| Dec 31, 2023 | 7.13 Mn |
| Sep 30, 2023 | 25.11 Mn |
| Jun 30, 2023 | 18.52 Mn |
| Mar 31, 2023 | 30.02 Mn |
| Dec 31, 2022 | 22.25 Mn |
| Sep 30, 2022 | 17.91 Mn |
| Jun 30, 2022 | 23.92 Mn |
| Mar 31, 2022 | 30.93 Mn |
| Dec 31, 2021 | 16.64 Mn |
| Sep 30, 2021 | 13.04 Mn |
Afya Income After Tax 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=profit-after-tax&ticker=AFYA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "profit-after-tax", "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=profit-after-tax&ticker=AFYA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();