Afya (AFYA) Total Non-Current Liabilities (2018 - 2026)
Afya's Total Non-Current Liabilities came in at $14.1 million for Q2 2026, down 53.1% from $30.09 million a year earlier and down 0.3% from the prior quarter.
Afya (AFYA) Total Non-Current Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025, Afya's Total Non-Current Liabilities was $654.23 million, up 19.6% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of 19.9% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $546.91 million in FY2024 (-8.0%), $594.39 million in FY2023 (+3.2%), $575.96 million in FY2022 (+19.7%) and $481.29 million in FY2021 (+82.4%).
- The Q2 2026 figure represents the lowest quarterly Total Non-Current Liabilities since Q2 2021.
- Year-over-year, Total Non-Current Liabilities increased in four of the last eight quarters, with growth averaging 7.7%.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q2 2025 (growth of 93.1%), and the weakest in Q2 2026 (a decline of 53.1%).
- Business Quant data shows AFYA's Total Non-Current Liabilities at $14.14 million (Q1 2026), $654.23 million (Q4 2025) and $20.12 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Service Corp International | 10.50 Bn | 9.57 Bn | 272.27 Mn | 16.93 Bn |
| 2 | New Oriental Education & Technology | 8.07 Bn | -2.95 Bn | 20,000.00 | 580.86 Mn |
| 3 | TAL Education | 6.08 Bn | -6.40 Bn | 594.64 Mn | 2.27 Bn |
| 4 | Graham Holdings | 5.21 Bn | 307.76 Mn | 392.25 Mn | 3.31 Bn |
| 5 | Laureate Education | 4.77 Bn | 4.12 Bn | 131.69 Mn | 1.22 Bn |
| 6 | Valvoline | 4.62 Bn | 4.33 Bn | 214.90 Mn | 2.66 Bn |
| 7 | Covista | 4.17 Bn | 3.34 Bn | 290.78 Mn | 822.13 Mn |
| 8 | Stride | 3.33 Bn | 151.03 Mn | 241.12 Mn | 839.49 Mn |
| 9 | Onespaworld Holdings | 3.13 Bn | 3.03 Bn | 49.70 Mn | 150.44 Mn |
| 10 | Afya | 950.00 Mn | -220.15 Mn | 118.29 Mn | 14.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.10 Mn |
| Mar 31, 2026 | 14.14 Mn |
| Dec 31, 2025 | 654.23 Mn |
| Sep 30, 2025 | 20.12 Mn |
| Jun 30, 2025 | 30.09 Mn |
| Mar 31, 2025 | 23.33 Mn |
| Dec 31, 2024 | 546.91 Mn |
| Sep 30, 2024 | 15.83 Mn |
| Jun 30, 2024 | 15.58 Mn |
| Mar 31, 2024 | 17.34 Mn |
| Dec 31, 2023 | 594.39 Mn |
| Sep 30, 2023 | 18.00 Mn |
| Jun 30, 2023 | 18.80 Mn |
| Mar 31, 2023 | 18.06 Mn |
| Dec 31, 2022 | 575.96 Mn |
| Sep 30, 2022 | 17.32 Mn |
| Jun 30, 2022 | 18.25 Mn |
| Mar 31, 2022 | 19.99 Mn |
| Dec 31, 2021 | 481.29 Mn |
| Sep 30, 2021 | 18.43 Mn |
Afya Total Non-Current 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-non-current-liabilities&ticker=AFYA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=AFYA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();