Laureate Education (LAUR) Price to Earnings (2017 - 2026)
Laureate Education's (LAUR) quarterly Price to Earnings came in at 36.49 in Q2 2026, up 3.19% on a YoY basis from 35.36 in Q2 2025, and up 116.16% quarter-over-quarter from 225.84 in Q1 2026.
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Laureate Education (LAUR) Price to Earnings (2017 - 2026) Analysis & Trends
Laureate Education (LAUR) has reported Price to Earnings for 10 consecutive years, with 36.49 the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Price to Earnings rose 3.19% year-over-year to 36.49; the trailing twelve-month figure through Jun 2026 stood at 15.58 (up 15.97% YoY), and the FY2025 full-year result was 16.97, up 82.25% from the prior year.
- Price to Earnings grew to 36.49 in Q2 2026 per LAUR's latest filing, from 225.84 in the prior quarter.
- Across five years, Price to Earnings topped out at 135.2 in Q3 2025 and bottomed at 225.84 in Q1 2026.
- Historically, Price to Earnings has averaged 1.89 across 5 years, with a median of 32.46 in 2024.
- The widest YoY moves for Price to Earnings: up 1294.4% in 2022, down 475.95% in 2022.
- Over 5 years, Price to Earnings stood at 88.87 in 2022, then slumped by 41.5% to 51.98 in 2023, then slumped by 43.15% to 29.55 in 2024, then dropped by 4.94% to 28.09 in 2025, then climbed by 29.9% to 36.49 in 2026.
- According to Business Quant data, Price to Earnings over the past three periods registered 36.49, 225.84, and 28.09 for Q2 2026, Q1 2026, and Q4 2025 respectively.
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 | Onespaworld Holdings | 2.26 Bn | 2.22 Bn | 84.35 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 36.49 |
| Mar 31, 2026 | -225.84 |
| Dec 31, 2025 | 28.09 |
| Sep 30, 2025 | 135.20 |
| Jun 30, 2025 | 35.36 |
| Mar 31, 2025 | -155.61 |
| Dec 31, 2024 | 29.55 |
| Sep 30, 2024 | 29.33 |
| Jun 30, 2024 | 17.76 |
| Mar 31, 2024 | -208.53 |
| Dec 31, 2023 | 51.98 |
| Sep 30, 2023 | 61.67 |
| Jun 30, 2023 | 77.10 |
| Mar 31, 2023 | -157.82 |
| Dec 31, 2022 | 88.87 |
| Sep 30, 2022 | 122.07 |
| Jun 30, 2022 | 95.30 |
| Mar 31, 2022 | -95.01 |
| Dec 31, 2021 | 116.24 |
| Sep 30, 2021 | 8.75 |
API Access
Laureate 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=LAUR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "LAUR", "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=LAUR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();