TAL Education (TAL) Selling, General & Administrative (2009 - 2026)
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Analysis
TAL Education (TAL) Selling, General & Administrative (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Service Corp International | 10.06 Bn | 9.12 Bn | 272.27 Mn | 30.59 Mn |
| 2 | New Oriental Education & Technology | 8.68 Bn | -2.70 Bn | 20,000.00 | 420.71 Mn |
| 3 | TAL Education | 5.79 Bn | -6.69 Bn | 594.64 Mn | 132.38 Mn |
| 4 | Graham Holdings | 5.18 Bn | 243.01 Mn | 392.25 Mn | 282.84 Mn |
| 5 | Laureate Education | 4.67 Bn | 4.02 Bn | 131.69 Mn | 12.57 Mn |
| 6 | Valvoline | 4.45 Bn | 4.16 Bn | 214.90 Mn | 103.00 Mn |
| 7 | Covista | 3.73 Bn | 2.90 Bn | 290.78 Mn | 192.59 Mn |
| 8 | Onespaworld Holdings | 3.16 Bn | 3.05 Bn | 49.70 Mn | 6.95 Mn |
| 9 | Stride | 3.11 Bn | -66.08 Mn | 241.12 Mn | 156.85 Mn |
| 10 | Bright Horizons Family Solutions | 2.77 Bn | 2.21 Bn | 204.83 Mn | 100.82 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 132.38 Mn |
| May 31, 2026 | 128.97 Mn |
| Feb 28, 2026 | 133.83 Mn |
| Nov 30, 2025 | 118.62 Mn |
| Aug 31, 2025 | 127.63 Mn |
| May 31, 2025 | 120.31 Mn |
| Feb 28, 2025 | 115.63 Mn |
| Nov 30, 2024 | 110.75 Mn |
| Aug 31, 2024 | 119.50 Mn |
| May 31, 2024 | 109.68 Mn |
| Feb 29, 2024 | 100.80 Mn |
| Nov 30, 2023 | 110.68 Mn |
| Aug 31, 2023 | 97.11 Mn |
| May 31, 2023 | 104.92 Mn |
| Feb 28, 2023 | 112.16 Mn |
| Nov 30, 2022 | 92.97 Mn |
| Aug 31, 2022 | 97.21 Mn |
| May 31, 2022 | 111.45 Mn |
| Feb 28, 2022 | 212.11 Mn |
| Nov 30, 2021 | 299.96 Mn |
API Access
TAL Education Selling, General & Administrative 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=selling-general-and-administrative&ticker=TAL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=TAL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();