Afya (AFYA) Change in Accured Expenses (2018 - 2026)
Afya (AFYA) reported Change in Accured Expenses of $16.35 million for Q2 2026, up 13.4% from $14.43 million a year earlier but down 1.0% from the prior quarter.
Afya (AFYA) Change in Accured Expenses (2018 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Afya's Change in Accured Expenses came in at $61.95 million, up 14.2% year-over-year; for FY2025, it came in at $56.68 million, up 19.4% from FY2024.
- Change in Accured Expenses has a five-year compound annual growth rate of 62.4% (FY2020 to FY2025).
- By year, Change in Accured Expenses came in at $47.47 million in FY2024 (-17.0%), $57.2 million in FY2023 (+50.4%), $38.03 million in FY2022 (+88.9%) and $20.14 million in FY2021 (+301.6%).
- Five-year quarterly Change in Accured Expenses spans a low of $3.95 million in Q1 2022 and a high of $16.51 million in Q1 2026.
- Year over year, Change in Accured Expenses gained in six of the last eight quarters, with growth averaging 17.5%.
- The high point for year-over-year Change in Accured Expenses in five years was Q2 2022 (growth of 285.2%); the low point was Q2 2024 (a decline of 35.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $16.51 million (Q1 2026), $12.63 million (Q4 2025) and $16.46 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Service Corp International | 11.15 Bn | 10.15 Bn | 273.50 Mn | -12.06 Mn |
| 2 | New Oriental Education & Technology | 9.53 Bn | -1.61 Bn | 5,600.00 | - |
| 3 | TAL Education | 7.16 Bn | -5.83 Bn | 438.20 Mn | - |
| 4 | Laureate Education | 5.43 Bn | 4.73 Bn | 237.67 Mn | 48.01 Mn |
| 5 | Graham Holdings | 5.11 Bn | 202.28 Mn | 392.03 Mn | 8.59 Mn |
| 6 | Covista | 4.47 Bn | 3.59 Bn | 284.63 Mn | 471,000.00 |
| 7 | Valvoline | 4.04 Bn | 3.75 Bn | 214.90 Mn | 17.70 Mn |
| 8 | Bright Horizons Family Solutions | 3.63 Bn | 3.07 Bn | 188.96 Mn | 43.89 Mn |
| 9 | Stride | 3.55 Bn | 446.85 Mn | 217.28 Mn | 2.45 Mn |
| 10 | Afya | 1.32 Bn | 137.16 Mn | 118.29 Mn | 16.35 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.35 Mn |
| Mar 31, 2026 | 16.51 Mn |
| Dec 31, 2025 | 12.63 Mn |
| Sep 30, 2025 | 16.46 Mn |
| Jun 30, 2025 | 14.43 Mn |
| Mar 31, 2025 | 13.13 Mn |
| Dec 31, 2024 | 15.15 Mn |
| Sep 30, 2024 | 11.55 Mn |
| Jun 30, 2024 | 9.72 Mn |
| Mar 31, 2024 | 10.46 Mn |
| Dec 31, 2023 | 12.34 Mn |
| Sep 30, 2023 | 14.74 Mn |
| Jun 30, 2023 | 15.12 Mn |
| Mar 31, 2023 | 14.93 Mn |
| Dec 31, 2022 | 9.93 Mn |
| Sep 30, 2022 | 10.05 Mn |
| Jun 30, 2022 | 10.01 Mn |
| Mar 31, 2022 | 8.82 Mn |
| Dec 31, 2021 | 7.46 Mn |
| Sep 30, 2021 | 6.28 Mn |
Afya Change in Accured 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=change-in-accured-expenses&ticker=AFYA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=AFYA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();