Afya (AFYA) Non-cash Items (2019 - 2023)
Afya's (AFYA) quarterly Non-cash Items came in at $67.3 million in Q1 2023, up 19.78% year-over-year from $56.2 million in Q1 2022, and up 165.79% quarter-over-quarter from $25.3 million in Q4 2022.
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Analysis
Afya (AFYA) Non-cash Items (2019 - 2023) Analysis & Trends
Afya has disclosed Non-cash Items across 5 years of filings, most recently posting $67.3 million for Q1 2023.
- In Q1 2023, Non-cash Items rose 19.78% year-over-year to $67.3 million; the TTM figure through Mar 2023 stood at $180.6 million (up 24.65% YoY), while the FY2025 annual figure was $287.1 million, up 14.8% from the prior year.
- Non-cash Items came in at $67.3 million for Q1 2023 at Afya, up from $25.3 million in the prior quarter.
- In the past five years, Non-cash Items ranged from a high of $67.3 million in Q1 2023 to a low of $12.2 million in Q4 2020.
- Average Non-cash Items over 5 years is $30.4 million, with a median of $25.3 million recorded in 2022.
- Year-over-year, Non-cash Items slumped 31.0% in 2020 and soared 79.28% in 2021.
- Over 5 years, Non-cash Items stood at $17.8 million in 2019, then slumped by 31.0% to $12.2 million in 2020, then surged by 60.05% to $19.6 million in 2021, then climbed by 29.11% to $25.3 million in 2022, then soared by 165.79% to $67.3 million in 2023.
- Per Business Quant data, the three most recent Non-cash Items figures were $67.3 million in Q1 2023, $25.3 million in Q4 2022, and $56.1 million in Q3 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 4 | Graham Holdings | 4.89 Bn | 3.68 Bn | 777.03 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 |
| 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 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2023 | 67.28 Mn |
| Dec 31, 2022 | 25.31 Mn |
| Sep 30, 2022 | 56.08 Mn |
| Jun 30, 2022 | 31.93 Mn |
| Mar 31, 2022 | 56.17 Mn |
| Dec 31, 2021 | 19.61 Mn |
| Sep 30, 2021 | 41.03 Mn |
| Jun 30, 2021 | 28.09 Mn |
| Mar 31, 2021 | 35.56 Mn |
| Dec 31, 2020 | 12.25 Mn |
| Sep 30, 2020 | 22.88 Mn |
| Jun 30, 2020 | 17.65 Mn |
| Mar 31, 2020 | 24.37 Mn |
| Dec 31, 2019 | 17.75 Mn |
| Sep 30, 2019 | 31.19 Mn |
| Jun 30, 2019 | 13.32 Mn |
| Mar 31, 2019 | 15.69 Mn |
API Access
Afya Non-cash Items 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=non-cash-items&ticker=AFYA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-cash-items", "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=non-cash-items&ticker=AFYA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();