Afya (AFYA) EBT (2018 - 2026)
Afya's (AFYA) quarterly EBT came in at $40.2 million in Q2 2026, up 17.2% year-over-year from $34.3 million in Q2 2025, and down 30.52% quarter-over-quarter from $57.8 million in Q1 2026.
Afya (AFYA) EBT (2018 - 2026) Analysis & Trends
Afya has disclosed EBT across 9 years of filings, most recently posting $40.2 million for Q2 2026.
- In Q2 2026, EBT rose 17.2% year-over-year to $40.2 million; the TTM figure through Jun 2026 stood at $256.4 million (up 91.72% YoY), while the FY2025 annual figure was $159.7 million, up 37.21% from the prior year.
- EBT came in at $40.2 million for Q2 2026 at Afya, down from $57.8 million in the prior quarter.
- In the past five years, EBT ranged from a high of $120.5 million in Q3 2025 to a low of $15.5 million in Q4 2022.
- Average EBT over 5 years is $35.3 million, with a median of $27.6 million recorded in 2022.
- Year-over-year, EBT retreated 20.57% in 2023 and jumped 389.19% in 2025.
- Over 5 years, EBT stood at $15.5 million in 2022, then increased by 21.1% to $18.7 million in 2023, then jumped by 42.68% to $26.7 million in 2024, then jumped by 41.87% to $37.9 million in 2025, then gained by 5.9% to $40.2 million in 2026.
- Per Business Quant data, the three most recent EBT figures were $40.2 million in Q2 2026, $57.8 million in Q1 2026, and $37.9 million in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Service Corp International | 10.64 Bn | 10.38 Bn | 273.50 Mn | 166.82 Mn |
| 2 | New Oriental Education & Technology | 8.69 Bn | 6.29 Bn | -19,600.00 | 85.80 Mn |
| 3 | Laureate Education | 5.06 Bn | 4.90 Bn | 237.67 Mn | 218.77 Mn |
| 4 | Graham Holdings | 4.89 Bn | 3.68 Bn | 777.03 Mn | 317.48 Mn |
| 5 | Covista | 4.19 Bn | 3.78 Bn | 284.63 Mn | 88.40 Mn |
| 6 | Valvoline | 3.67 Bn | 3.58 Bn | 214.90 Mn | 85.60 Mn |
| 7 | Bright Horizons Family Solutions | 3.28 Bn | 3.11 Bn | 188.96 Mn | 65.79 Mn |
| 8 | Stride | 3.26 Bn | 2.30 Bn | 217.28 Mn | 104.33 Mn |
| 9 | TAL Education | 2.28 Bn | -596.06 Mn | 438.20 Mn | 147.11 Mn |
| 10 | Afya | 1.23 Bn | 1.04 Bn | 118.29 Mn | 40.16 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 40.16 Mn |
| Mar 31, 2026 | 57.80 Mn |
| Dec 31, 2025 | 37.93 Mn |
| Sep 30, 2025 | 120.49 Mn |
| Jun 30, 2025 | 34.27 Mn |
| Mar 31, 2025 | 48.09 Mn |
| Dec 31, 2024 | 26.73 Mn |
| Sep 30, 2024 | 24.63 Mn |
| Jun 30, 2024 | 31.79 Mn |
| Mar 31, 2024 | 44.32 Mn |
| Dec 31, 2023 | 18.74 Mn |
| Sep 30, 2023 | 22.62 Mn |
| Jun 30, 2023 | 18.10 Mn |
| Mar 31, 2023 | 26.35 Mn |
| Dec 31, 2022 | 15.47 Mn |
| Sep 30, 2022 | 16.63 Mn |
| Jun 30, 2022 | 22.78 Mn |
| Mar 31, 2022 | 28.37 Mn |
| Dec 31, 2021 | 11.05 Mn |
| Sep 30, 2021 | 12.08 Mn |
Afya EBT 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=ebt&ticker=AFYA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=AFYA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();