Afya (AFYA) Exchange Rate Effect (2019 - 2026)
Afya's (AFYA) quarterly Exchange Rate Effect came in at $290834.1 in Q2 2026, up 4.67% year-over-year from $277851.9 in Q2 2025, and up 71.41% quarter-over-quarter from $169674.5 in Q1 2026.
Afya (AFYA) Exchange Rate Effect (2019 - 2026) Analysis & Trends
Afya has disclosed Exchange Rate Effect across 8 years of filings, most recently posting $290834.1 for Q2 2026.
- In Q2 2026, Exchange Rate Effect rose 4.67% year-over-year to $290834.1; the TTM figure through Jun 2026 stood at $416548.2 (down 76.51% YoY), while the FY2025 annual figure was $336839.8, down 72.14% from the prior year.
- Exchange Rate Effect came in at $290834.1 for Q2 2026 at Afya, up from $169674.5 in the prior quarter.
- In the past five years, Exchange Rate Effect ranged from a high of $1.5 million in Q3 2024 to a low of -$116741.3 in Q2 2024.
- Average Exchange Rate Effect over 5 years is $129754.7, with a median of $43329.5 recorded in 2023.
- Year-over-year, Exchange Rate Effect slumped 261.84% in 2023 and jumped 8086.97% in 2024.
- Over 5 years, Exchange Rate Effect stood at $106258.7 in 2022, then tumbled by 55.71% to $47065.3 in 2023, then slumped by 259.04% to -$74851.1 in 2024, then sank by 52.15% to -$113887.5 in 2025, then soared by 355.37% to $290834.1 in 2026.
- Per Business Quant data, the three most recent Exchange Rate Effect figures were $290834.1 in Q2 2026, $169674.5 in Q1 2026, and -$113887.5 in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Service Corp International | 10.64 Bn | 10.38 Bn | 273.50 Mn | -2.89 Mn |
| 2 | New Oriental Education & Technology | 8.69 Bn | 6.29 Bn | -19,600.00 | 25.79 Mn |
| 3 | Laureate Education | 5.06 Bn | 4.90 Bn | 237.67 Mn | 2.00 Mn |
| 4 | Graham Holdings | 4.89 Bn | 3.68 Bn | 777.03 Mn | 1.18 Mn |
| 5 | Covista | 4.19 Bn | 3.78 Bn | 284.63 Mn | - |
| 6 | Valvoline | 3.67 Bn | 3.58 Bn | 214.90 Mn | -200,000.00 |
| 7 | Bright Horizons Family Solutions | 3.28 Bn | 3.11 Bn | 188.96 Mn | -427,000.00 |
| 8 | Stride | 3.26 Bn | 2.30 Bn | 217.28 Mn | - |
| 9 | TAL Education | 2.28 Bn | -596.06 Mn | 438.20 Mn | 8.15 Mn |
| 10 | Afya | 1.23 Bn | 1.04 Bn | 118.29 Mn | 290,834.08 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 290,834.08 |
| Mar 31, 2026 | 169,674.47 |
| Dec 31, 2025 | -113,887.48 |
| Sep 30, 2025 | 69,927.12 |
| Jun 30, 2025 | 277,851.93 |
| Mar 31, 2025 | 81,233.00 |
| Dec 31, 2024 | -74,851.13 |
| Sep 30, 2024 | 1.49 Mn |
| Jun 30, 2024 | -116,741.33 |
| Mar 31, 2024 | -38,423.43 |
| Dec 31, 2023 | 47,065.30 |
| Sep 30, 2023 | -18,647.99 |
| Jun 30, 2023 | 76,327.08 |
| Mar 31, 2023 | 31,004.96 |
| Dec 31, 2022 | 106,258.72 |
| Sep 30, 2022 | -5,153.69 |
| Jun 30, 2022 | 39,593.62 |
| Mar 31, 2022 | 24,109.13 |
| Dec 31, 2021 | -72,250.46 |
| Sep 30, 2021 | -1.20 Mn |
Afya Exchange Rate Effect 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=exchange-rate-effect&ticker=AFYA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=AFYA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();