Laureate Education (LAUR) Net Margin (2016 - 2026)
Laureate Education's (LAUR) quarterly Net Margin came in at 22.26% in Q2 2026, up 367.0% on a YoY basis from 4.77% in Q2 2025, and up 381.04% quarter-over-quarter from 7.92% in Q1 2026.
Laureate Education (LAUR) Net Margin (2016 - 2026) Analysis & Trends
Laureate Education (LAUR) has reported Net Margin for 11 consecutive years, with 22.26% the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Net Margin rose 367.0% year-over-year to 22.26%; the trailing twelve-month figure through Jun 2026 stood at 17.55% (up 103.0% YoY), and the FY2025 full-year result was 16.66%, down 224.0% from the prior year.
- Net Margin improved to 22.26% in Q2 2026 per LAUR's latest filing, from 7.92% in the prior quarter.
- Across five years, Net Margin topped out at 31.64% in Q4 2025 and bottomed at 21.37% in Q1 2022.
- Historically, Net Margin has averaged 9.16% across 5 years, with a median of 10.77% in 2022.
- The widest YoY moves for Net Margin: up 6334 bps in 2022, down 12422 bps in 2022.
- Over 5 years, Net Margin stood at 11.22% in 2022, then declined by 10 bps to 10.15% in 2023, then soared by 117 bps to 22.04% in 2024, then surged by 44 bps to 31.64% in 2025, then decreased by 30 bps to 22.26% in 2026.
- According to Business Quant data, Net Margin over the past three periods registered 22.26%, 7.92%, and 31.64% for Q2 2026, Q1 2026, and Q4 2025 respectively.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Service Corp International | 10.64 Bn | 10.38 Bn | 273.50 Mn | 11.32% |
| 2 | New Oriental Education & Technology | 8.69 Bn | 6.29 Bn | -19,600.00 | 7.27% |
| 3 | Laureate Education | 5.06 Bn | 4.90 Bn | 237.67 Mn | 22.26% |
| 4 | Graham Holdings | 4.89 Bn | 3.68 Bn | 777.03 Mn | 21.68% |
| 5 | Covista | 4.19 Bn | 3.78 Bn | 284.63 Mn | 14.31% |
| 6 | Valvoline | 3.67 Bn | 3.58 Bn | 214.90 Mn | 11.84% |
| 7 | Bright Horizons Family Solutions | 3.28 Bn | 3.11 Bn | 188.96 Mn | 5.22% |
| 8 | Stride | 3.26 Bn | 2.30 Bn | 217.28 Mn | 12.81% |
| 9 | TAL Education | 2.28 Bn | -596.06 Mn | 438.20 Mn | 38.34% |
| 10 | Onespaworld Holdings | 2.26 Bn | 2.22 Bn | 84.35 Mn | 8.89% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.26% |
| Mar 31, 2026 | -7.92% |
| Dec 31, 2025 | 31.64% |
| Sep 30, 2025 | 8.59% |
| Jun 30, 2025 | 18.59% |
| Mar 31, 2025 | -8.28% |
| Dec 31, 2024 | 22.04% |
| Sep 30, 2024 | 23.15% |
| Jun 30, 2024 | 25.71% |
| Mar 31, 2024 | -3.94% |
| Dec 31, 2023 | 10.15% |
| Sep 30, 2023 | 9.95% |
| Jun 30, 2023 | 12.19% |
| Mar 31, 2023 | -10.65% |
| Dec 31, 2022 | 11.22% |
| Sep 30, 2022 | 10.31% |
| Jun 30, 2022 | 11.31% |
| Mar 31, 2022 | -21.37% |
| Dec 31, 2021 | 12.74% |
| Sep 30, 2021 | 134.53% |
Laureate Education Net Margin 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=net-margin&ticker=LAUR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "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=net-margin&ticker=LAUR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();