Afya (AFYA) Tax Provisions (2017 - 2026)
Afya's (AFYA) quarterly Tax Provisions came in at -$391993.8 in Q2 2026, up 87.3% year-over-year from -$209291.4 in Q2 2025, and up 95.14% quarter-over-quarter from -$8.1 million in Q1 2026.
Afya (AFYA) Tax Provisions (2017 - 2026) Analysis & Trends
Afya has disclosed Tax Provisions across 10 years of filings, most recently posting -$391993.8 for Q2 2026.
- In Q2 2026, Tax Provisions rose 87.3% year-over-year to -$391993.8; the TTM figure through Jun 2026 stood at -$15.8 million (down 10.43% YoY), while the FY2025 annual figure was -$17.2 million, down 262.97% from the prior year.
- Tax Provisions came in at -$391993.8 for Q2 2026 at Afya, up from -$8.1 million in the prior quarter.
- In the past five years, Tax Provisions ranged from a high of -$391993.8 in Q2 2026 to a low of -$8.1 million in Q1 2026.
- Average Tax Provisions over 5 years is -$3.0 million, with a median of -$2.5 million recorded in 2022.
- Year-over-year, Tax Provisions tumbled 419.03% in 2025 and surged 87.3% in 2026.
- Over 5 years, Tax Provisions stood at -$6.8 million in 2022, then grew by 28.02% to -$4.9 million in 2023, then increased by 3.16% to -$4.7 million in 2024, then jumped by 34.73% to -$3.1 million in 2025, then surged by 87.3% to -$391993.8 in 2026.
- Per Business Quant data, the three most recent Tax Provisions figures were -$391993.8 in Q2 2026, -$8.1 million in Q1 2026, and -$3.1 million in Q2 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Service Corp International | 10.64 Bn | 10.38 Bn | 273.50 Mn | 41.94 Mn |
| 2 | New Oriental Education & Technology | 8.69 Bn | 6.29 Bn | -19,600.00 | -25.38 Mn |
| 3 | Laureate Education | 5.06 Bn | 4.90 Bn | 237.67 Mn | 81.67 Mn |
| 4 | Graham Holdings | 4.89 Bn | 3.68 Bn | 777.03 Mn | 35.10 Mn |
| 5 | Covista | 4.19 Bn | 3.78 Bn | 284.63 Mn | 16.24 Mn |
| 6 | Valvoline | 3.67 Bn | 3.58 Bn | 214.90 Mn | 20.60 Mn |
| 7 | Bright Horizons Family Solutions | 3.28 Bn | 3.11 Bn | 188.96 Mn | 25.16 Mn |
| 8 | Stride | 3.26 Bn | 2.30 Bn | 217.28 Mn | 22.83 Mn |
| 9 | TAL Education | 2.28 Bn | -596.06 Mn | 438.20 Mn | -143.66 Mn |
| 10 | Afya | 1.23 Bn | 1.04 Bn | 118.29 Mn | -391,993.76 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -391,993.76 |
| Mar 31, 2026 | -8.07 Mn |
| Jun 30, 2025 | -3.09 Mn |
| Mar 31, 2025 | -4.23 Mn |
| Dec 31, 2024 | -4.73 Mn |
| Sep 30, 2024 | -2.24 Mn |
| Jun 30, 2024 | -594,476.85 |
| Mar 31, 2024 | -2.20 Mn |
| Dec 31, 2023 | -4.88 Mn |
| Sep 30, 2023 | -2.49 Mn |
| Jun 30, 2023 | -422,020.11 |
| Mar 31, 2023 | -3.67 Mn |
| Dec 31, 2022 | -6.78 Mn |
| Sep 30, 2022 | -1.28 Mn |
| Jun 30, 2022 | -1.14 Mn |
| Mar 31, 2022 | -2.55 Mn |
| Dec 31, 2021 | -5.59 Mn |
| Sep 30, 2021 | -961,742.55 |
| Jun 30, 2021 | -914,715.04 |
| Mar 31, 2021 | -1.59 Mn |
Afya Tax Provisions 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=tax-provisions&ticker=AFYA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=AFYA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();