TAL Education (TAL) Non Operating Interest Expenses (2010 - 2022)
TAL Education (TAL) reported Non Operating Interest Expenses of $15.74 million for the quarter ended Feb 28, 2022, compared with -$7.57 million a year earlier.
TAL Education (TAL) Non Operating Interest Expenses (2010 - 2022) Analysis & Trends
For the year ended Feb 28, 2022, TAL Education posted Non Operating Interest Expenses of $7.87 million, down 53.6% from the prior year.
- Non Operating Interest Expenses has a five-year compound annual growth rate of -9.7% (years ended Feb 2017 to Feb 2022).
- By year, Non Operating Interest Expenses came in at $16.95 million in the year ended Feb 28, 2021 (+43.4%), $11.82 million in the year ended Feb 29, 2020 (-32.9%), $17.63 million in the year ended Feb 28, 2019 (+5.9%) and $16.64 million in the year ended Feb 28, 2018 (+26.6%).
- The figure for the quarter ended Feb 28, 2022 ranks as the highest quarterly Non Operating Interest Expenses since the quarter ended Feb 29, 2020.
- Per Business Quant data, the three quarters before the quarter ended Feb 28, 2022 came in at -$1.82 million (quarter ended Nov 30, 2021), -$2.88 million (quarter ended Aug 31, 2021) and -$3.17 million (quarter ended May 31, 2021).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Service Corp International | 10.50 Bn | 9.57 Bn | 272.27 Mn | 64.99 Mn |
| 2 | New Oriental Education & Technology | 8.07 Bn | -2.95 Bn | 20,000.00 | - |
| 3 | TAL Education | 6.08 Bn | -6.40 Bn | 594.64 Mn | - |
| 4 | Graham Holdings | 5.21 Bn | 307.76 Mn | 392.25 Mn | 15.77 Mn |
| 5 | Laureate Education | 4.77 Bn | 4.12 Bn | 131.69 Mn | 4.84 Mn |
| 6 | Valvoline | 4.62 Bn | 4.33 Bn | 214.90 Mn | - |
| 7 | Covista | 4.17 Bn | 3.34 Bn | 290.78 Mn | 9.94 Mn |
| 8 | Stride | 3.33 Bn | 151.03 Mn | 241.12 Mn | - |
| 9 | Onespaworld Holdings | 3.13 Bn | 3.03 Bn | 49.70 Mn | 1.18 Mn |
| 10 | Bright Horizons Family Solutions | 2.70 Bn | 2.15 Bn | 204.83 Mn | 17.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Feb 28, 2022 | 15.74 Mn |
| Nov 30, 2021 | -1.82 Mn |
| Aug 31, 2021 | -2.88 Mn |
| May 31, 2021 | -3.17 Mn |
| Feb 28, 2021 | -7.57 Mn |
| Nov 30, 2020 | -2.71 Mn |
| Aug 31, 2020 | -3.07 Mn |
| May 31, 2020 | -3.60 Mn |
| Feb 29, 2020 | 19.78 Mn |
| Nov 30, 2019 | -2.74 Mn |
| Aug 31, 2019 | -2.10 Mn |
| May 31, 2019 | -3.12 Mn |
| Feb 28, 2019 | -5.75 Mn |
| Nov 30, 2018 | -4.06 Mn |
| Aug 31, 2018 | -3.96 Mn |
| May 31, 2018 | -3.87 Mn |
| Feb 28, 2018 | -3.64 Mn |
| Nov 30, 2017 | -3.91 Mn |
| Aug 31, 2017 | -3.87 Mn |
| May 31, 2017 | -5.23 Mn |
TAL Education Non Operating Interest Expenses 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-operating-interest-expenses&ticker=TAL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "TAL", "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-operating-interest-expenses&ticker=TAL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();