Afya (AFYA) Total Liabilities (2018 - 2026)
Afya's Total Liabilities came in at $868.91 million for Q2 2026, up 6.9% from $812.78 million a year earlier but down 5.5% from the prior quarter.
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Analysis
Afya (AFYA) Total Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025, Afya's Total Liabilities was $800.24 million, down 5.1% from FY2024.
- Total Liabilities carries a five-year compound annual growth rate of 15.8% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $843.3 million in FY2024 (+6.8%), $789.87 million in FY2023 (+5.2%), $750.73 million in FY2022 (+17.3%) and $640.19 million in FY2021 (+66.4%).
- The five-year range for quarterly Total Liabilities is $618.05 million (Q4 2021) to $919.43 million (Q1 2026).
- Year-over-year, Total Liabilities has increased for three consecutive quarters, with growth averaging 3.9% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q3 2021 (growth of 175.3%), and the weakest in Q2 2024 (a decline of 17.2%).
- Business Quant data shows AFYA's Total Liabilities at $919.43 million (Q1 2026), $828.51 million (Q4 2025) and $807.66 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Service Corp International | 11.15 Bn | 10.15 Bn | 273.50 Mn | 17.68 Bn |
| 2 | New Oriental Education & Technology | 9.53 Bn | -1.61 Bn | 5,600.00 | 4.47 Bn |
| 3 | TAL Education | 7.16 Bn | -5.83 Bn | 438.20 Mn | 2.69 Bn |
| 4 | Laureate Education | 5.43 Bn | 4.73 Bn | 237.67 Mn | 1.28 Bn |
| 5 | Graham Holdings | 5.11 Bn | 202.28 Mn | 392.03 Mn | 3.35 Bn |
| 6 | Covista | 4.47 Bn | 3.59 Bn | 284.63 Mn | 1.57 Bn |
| 7 | Valvoline | 4.04 Bn | 3.75 Bn | 214.90 Mn | 3.06 Bn |
| 8 | Bright Horizons Family Solutions | 3.63 Bn | 3.07 Bn | 188.96 Mn | 2.85 Bn |
| 9 | Stride | 3.55 Bn | 446.85 Mn | 217.28 Mn | 803.22 Mn |
| 10 | Afya | 1.32 Bn | 137.16 Mn | 118.29 Mn | 848.71 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 848.71 Mn |
| Mar 31, 2026 | 919.25 Mn |
| Dec 31, 2025 | 815.67 Mn |
| Sep 30, 2025 | 826.91 Mn |
| Jun 30, 2025 | 839.91 Mn |
| Mar 31, 2025 | 811.11 Mn |
| Dec 31, 2024 | 731.47 Mn |
| Sep 30, 2024 | 839.65 Mn |
| Jun 30, 2024 | 696.24 Mn |
| Mar 31, 2024 | 764.60 Mn |
| Dec 31, 2023 | 812.64 Mn |
| Sep 30, 2023 | 850.83 Mn |
| Jun 30, 2023 | 906.84 Mn |
| Mar 31, 2023 | 869.97 Mn |
| Dec 31, 2022 | 747.34 Mn |
| Sep 30, 2022 | 664.77 Mn |
| Jun 30, 2022 | 683.50 Mn |
| Mar 31, 2022 | 737.43 Mn |
| Dec 31, 2021 | 618.90 Mn |
| Sep 30, 2021 | 634.02 Mn |
API Access
Afya Total Liabilities 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=total-liabilities&ticker=AFYA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=AFYA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();