Afya (AFYA) Change in Taxes (2018 - 2026)
Afya's (AFYA) quarterly Change in Taxes came in at -$1.6 million in Q2 2026, up 21.91% year-over-year from -$1.3 million in Q2 2025, and down 714.6% quarter-over-quarter from $258786.8 in Q1 2026.
Afya (AFYA) Change in Taxes (2018 - 2026) Analysis & Trends
Afya has disclosed Change in Taxes across 9 years of filings, most recently posting -$1.6 million for Q2 2026.
- In Q2 2026, Change in Taxes rose 21.91% year-over-year to -$1.6 million; the TTM figure through Jun 2026 stood at -$4.6 million (down 59.65% YoY), while the FY2025 annual figure was -$3.4 million, down 31.91% from the prior year.
- Change in Taxes came in at -$1.6 million for Q2 2026 at Afya, down from $258786.8 in the prior quarter.
- In the past five years, Change in Taxes ranged from a high of $4.6 million in Q4 2022 to a low of -$4.5 million in Q4 2023.
- Average Change in Taxes over 5 years is -$420204.3, with a median of -$1.0 million recorded in 2024.
- The largest YoY upside for Change in Taxes was 236.75% in 2023 against a maximum downside of 197.5% in 2023.
- Over 5 years, Change in Taxes stood at $4.6 million in 2022, then slumped by 197.5% to -$4.5 million in 2023, then soared by 68.42% to -$1.4 million in 2024, then slumped by 157.43% to -$3.6 million in 2025, then soared by 56.07% to -$1.6 million in 2026.
- Per Business Quant data, the three most recent Change in Taxes figures were -$1.6 million in Q2 2026, $258786.8 in Q1 2026, and -$3.6 million in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Service Corp International | 10.64 Bn | 10.38 Bn | 273.50 Mn | - |
| 2 | New Oriental Education & Technology | 8.69 Bn | 6.29 Bn | -19,600.00 | - |
| 3 | Laureate Education | 5.06 Bn | 4.90 Bn | 237.67 Mn | 28.28 Mn |
| 4 | Graham Holdings | 4.89 Bn | 3.68 Bn | 777.03 Mn | -2.92 Mn |
| 5 | Covista | 4.19 Bn | 3.78 Bn | 284.63 Mn | - |
| 6 | Valvoline | 3.67 Bn | 3.58 Bn | 214.90 Mn | - |
| 7 | Bright Horizons Family Solutions | 3.28 Bn | 3.11 Bn | 188.96 Mn | -15.88 Mn |
| 8 | Stride | 3.26 Bn | 2.30 Bn | 217.28 Mn | - |
| 9 | TAL Education | 2.28 Bn | -596.06 Mn | 438.20 Mn | - |
| 10 | Afya | 1.23 Bn | 1.04 Bn | 118.29 Mn | -1.59 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1.59 Mn |
| Mar 31, 2026 | 258,786.83 |
| Dec 31, 2025 | -3.62 Mn |
| Sep 30, 2025 | 394,968.90 |
| Jun 30, 2025 | -2.04 Mn |
| Mar 31, 2025 | 1.84 Mn |
| Dec 31, 2024 | -1.41 Mn |
| Sep 30, 2024 | -1.25 Mn |
| Jun 30, 2024 | -984,704.45 |
| Mar 31, 2024 | 1.10 Mn |
| Dec 31, 2023 | -4.45 Mn |
| Sep 30, 2023 | 1.40 Mn |
| Jun 30, 2023 | 2.02 Mn |
| Mar 31, 2023 | 1.63 Mn |
| Dec 31, 2022 | 4.57 Mn |
| Sep 30, 2022 | -1.11 Mn |
| Jun 30, 2022 | -1.48 Mn |
| Mar 31, 2022 | -2.84 Mn |
| Dec 31, 2021 | 2.44 Mn |
| Sep 30, 2021 | -1.12 Mn |
Afya Change in Taxes 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-taxes&ticker=AFYA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-taxes", "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-taxes&ticker=AFYA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();