TAL Education (TAL) Price to Earnings (2022 - 2026)
TAL Education's (TAL) quarterly Price to Earnings came in at 1641.46 in Q2 2026, down 85.0% on a YoY basis from 10945.04 in Q2 2025, and down 47.91% quarter-over-quarter from 3151.37 in Q1 2026.
TAL Education (TAL) Price to Earnings (2022 - 2026) Analysis & Trends
TAL Education (TAL) has reported Price to Earnings for 5 consecutive years, with 1641.46 the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Price to Earnings fell 85.0% year-over-year to 1641.46; the trailing twelve-month figure through May 2026 stood at 645.75 (down 79.24% YoY), and the FY2026 full-year result was 631.84, down 83.76% from the prior year.
- Price to Earnings declined to 1641.46 in Q2 2026 per TAL's latest filing, from 3151.37 in the prior quarter.
- Across five years, Price to Earnings topped out at 1023260.59 in Q4 2024 and bottomed at 10174.0 in Q1 2023.
- Historically, Price to Earnings has averaged 77246.79 across 5 years, with a median of 4489.49 in 2025.
- The widest YoY moves for Price to Earnings: up 2036.58% in 2023, down 322.41% in 2023.
- Over 5 years, Price to Earnings stood at 9740.66 in 2022, then surged by 2036.58% to 188635.42 in 2023, then surged by 442.45% to 1023260.59 in 2024, then tumbled by 99.57% to 4404.44 in 2025, then plunged by 62.73% to 1641.46 in 2026.
- According to Business Quant data, Price to Earnings over the past three periods registered 1641.46, 3151.37, and 4404.44 for Q2 2026, Q1 2026, and Q4 2025 respectively.
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 | Onespaworld Holdings | 2.26 Bn | 2.22 Bn | 84.35 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 1,641.46 |
| Feb 28, 2026 | 3,151.37 |
| Nov 30, 2025 | 4,404.44 |
| Aug 31, 2025 | 3,235.51 |
| May 31, 2025 | 10,945.04 |
| Feb 28, 2025 | 37,293.12 |
| Nov 30, 2024 | 1.02 Mn |
| Aug 31, 2024 | 4,219.73 |
| May 31, 2024 | 74,580.60 |
| Feb 29, 2024 | 44,315.86 |
| Nov 30, 2023 | 188,635.42 |
| Aug 31, 2023 | 8,106.41 |
| May 31, 2023 | -4,919.53 |
| Feb 28, 2023 | -10,174.00 |
| Nov 30, 2022 | -9,740.66 |
| Aug 31, 2022 | 14,661.36 |
| May 31, 2022 | -7,749.06 |
| Feb 28, 2022 | 4,574.53 |
TAL Education Price to Earnings 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=price-to-earnings&ticker=TAL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=TAL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();