Laureate Education (LAUR) Dividend Yield (2017 - 2026)
Laureate Education's (LAUR) quarterly Dividend Yield came in at 0.0% in Q2 2026, little changed on a YoY basis from 0.0% in Q2 2025, and down 81.91% quarter-over-quarter from 0.0% in Q1 2026.
Laureate Education (LAUR) Dividend Yield (2017 - 2026) Analysis & Trends
Laureate Education (LAUR) has reported Dividend Yield for 10 consecutive years, with 0.0% the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Dividend Yield changed 0.0% year-over-year to 0.0%; the trailing twelve-month figure through Jun 2026 stood at 0.0% (down 1.0% YoY), and the FY2025 full-year result was 0.01%, down 5.0% from the prior year.
- Dividend Yield fell to 0.0% in Q2 2026 per LAUR's latest filing, from 0.0% in the prior quarter.
- Across five years, Dividend Yield topped out at 7.2% in Q4 2022 and bottomed at 0.0% in Q2 2026.
- Historically, Dividend Yield has averaged 1.05% across 5 years, with a median of 0.02% in 2022.
- The sharpest annual moves came in 2022 and 2024: Dividend Yield slumped 2408 bps in 2022, then advanced 2 bps in 2024.
- Over 5 years, Dividend Yield stood at 7.2% in 2022, then decreased by 29 bps to 5.1% in 2023, then slumped by 100 bps to 0.01% in 2024, then sank by 61 bps to 0.0% in 2025, then tumbled by 82 bps to 0.0% in 2026.
- According to Business Quant data, Dividend Yield over the past three periods registered 0.0%, 0.0%, and 0.0% for Q2 2026, Q1 2026, and Q2 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 |
|---|---|
| Jun 30, 2026 | 0.00% |
| Mar 31, 2026 | 0.00% |
| Jun 30, 2025 | 0.00% |
| Mar 31, 2025 | 0.01% |
| Jun 30, 2024 | 0.01% |
| Mar 31, 2024 | 0.07% |
| Dec 31, 2023 | 5.10% |
| Mar 31, 2023 | 0.05% |
| Dec 31, 2022 | 7.20% |
| Sep 30, 2022 | 0.01% |
| Jun 30, 2022 | 0.02% |
| Mar 31, 2022 | 0.08% |
| Dec 31, 2021 | 31.28% |
| Dec 31, 2020 | 0.43% |
| Sep 30, 2020 | 0.02% |
| Dec 31, 2019 | 0.10% |
| Sep 30, 2019 | 0.02% |
| Jun 30, 2019 | 0.02% |
| Mar 31, 2019 | 0.02% |
| Jun 30, 2018 | 0.04% |
Laureate Education Dividend Yield 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=dividend-yield&ticker=LAUR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "dividend-yield", "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=dividend-yield&ticker=LAUR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();