Afya (AFYA) Operating Expenses (2017 - 2026)
Analysis
Afya (AFYA) Operating Expenses (2017 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Service Corp International | 10.50 Bn | 9.57 Bn | 272.27 Mn | 30.59 Mn |
| 2 | New Oriental Education & Technology | 8.07 Bn | -2.95 Bn | 20,000.00 | 1.50 Bn |
| 3 | TAL Education | 6.08 Bn | -6.40 Bn | 594.64 Mn | 358.78 Mn |
| 4 | Graham Holdings | 5.21 Bn | 307.76 Mn | 392.25 Mn | 1.24 Bn |
| 5 | Laureate Education | 4.77 Bn | 4.12 Bn | 131.69 Mn | 12.57 Mn |
| 6 | Valvoline | 4.62 Bn | 4.33 Bn | 214.90 Mn | 103.10 Mn |
| 7 | Covista | 4.17 Bn | 3.34 Bn | 290.78 Mn | 413.51 Mn |
| 8 | Stride | 3.33 Bn | 151.03 Mn | 241.12 Mn | 156.85 Mn |
| 9 | Onespaworld Holdings | 3.13 Bn | 3.03 Bn | 49.70 Mn | 246.58 Mn |
| 10 | Afya | 950.00 Mn | -220.15 Mn | 118.29 Mn | 56.57 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 56.57 Mn |
| Mar 31, 2026 | 54.66 Mn |
| Dec 31, 2025 | 67.97 Mn |
| Sep 30, 2025 | 151.87 Mn |
| Jun 30, 2025 | 48.82 Mn |
| Mar 31, 2025 | 48.04 Mn |
| Dec 31, 2024 | 45.61 Mn |
| Sep 30, 2024 | 43.00 Mn |
| Jun 30, 2024 | 53.97 Mn |
| Mar 31, 2024 | 52.15 Mn |
| Dec 31, 2023 | 189.90 Mn |
| Sep 30, 2023 | 55.93 Mn |
| Jun 30, 2023 | 53.56 Mn |
| Mar 31, 2023 | 47.90 Mn |
| Dec 31, 2022 | 151.72 Mn |
| Sep 30, 2022 | 40.22 Mn |
| Jun 30, 2022 | 42.33 Mn |
| Mar 31, 2022 | 34.16 Mn |
| Dec 31, 2021 | 111.62 Mn |
| Sep 30, 2021 | 34.28 Mn |
API Access
Afya Operating Expenses 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=operating-expenses&ticker=AFYA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=AFYA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();