Laureate Education (LAUR) Net Margin (2016 - 2026)
Laureate Education's Net Margin was 22.26% in Q2 2026, up 4.12 percentage points from 18.14% a year earlier and up 30.18 percentage points from the prior quarter.
Laureate Education (LAUR) Net Margin (2016 - 2026) Analysis & Trends
On a trailing twelve-month basis, Laureate Education's Net Margin was 17.57% through Jun 30, 2026, up 1.16 percentage points year-over-year; for FY2025, it came in at 16.55%, down 2.38 percentage points from FY2024.
- Net Margin shows a five-year change of +76.38 percentage points (FY2020 to FY2025).
- In earlier years, Net Margin was 18.92% in FY2024 (+11.68 pp), 7.25% in FY2023 (+1.65 pp), 5.60% in FY2022 (-12.11 pp) and 17.71% in FY2021 (+77.54 pp).
- Quarterly Net Margin has moved between -21.10% (Q1 2022) and 134.64% (Q3 2021) over five years.
- Compared with a year earlier, Net Margin has increased for three straight quarters, with an average year-over-year change of +1.58 percentage points over the last eight quarters.
- The best year-over-year quarter for Net Margin over five years was Q3 2021 (a gain of 456.75 percentage points); the worst was Q3 2022 (a drop of 124.30 percentage points).
- Per Business Quant data, LAUR's Net Margin in the three quarters before Q2 2026 was -7.92% (Q1 2026), 31.69% (Q4 2025) and 8.62% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Service Corp International | 11.15 Bn | 10.15 Bn | 273.50 Mn | 11.31% |
| 2 | New Oriental Education & Technology | 9.53 Bn | -1.61 Bn | 5,600.00 | 4.07% |
| 3 | TAL Education | 7.16 Bn | -5.83 Bn | 438.20 Mn | 53.80% |
| 4 | Laureate Education | 5.43 Bn | 4.73 Bn | 237.67 Mn | 22.26% |
| 5 | Graham Holdings | 5.11 Bn | 202.28 Mn | 392.03 Mn | 21.58% |
| 6 | Covista | 4.47 Bn | 3.59 Bn | 284.63 Mn | 14.30% |
| 7 | Valvoline | 4.04 Bn | 3.75 Bn | 214.90 Mn | 11.84% |
| 8 | Bright Horizons Family Solutions | 3.63 Bn | 3.07 Bn | 188.96 Mn | 5.22% |
| 9 | Stride | 3.55 Bn | 446.85 Mn | 217.28 Mn | 12.80% |
| 10 | Onespaworld Holdings | 2.43 Bn | 2.33 Bn | 44.57 Mn | 8.89% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.26% |
| Mar 31, 2026 | -7.92% |
| Dec 31, 2025 | 31.69% |
| Sep 30, 2025 | 8.62% |
| Jun 30, 2025 | 18.14% |
| Mar 31, 2025 | -8.26% |
| Dec 31, 2024 | 22.11% |
| Sep 30, 2024 | 23.18% |
| Jun 30, 2024 | 25.66% |
| Mar 31, 2024 | -3.90% |
| Dec 31, 2023 | 10.22% |
| Sep 30, 2023 | 10.00% |
| Jun 30, 2023 | 12.16% |
| Mar 31, 2023 | -10.59% |
| Dec 31, 2022 | 11.33% |
| Sep 30, 2022 | 10.34% |
| Jun 30, 2022 | 11.27% |
| Mar 31, 2022 | -21.10% |
| Dec 31, 2021 | 8.75% |
| Sep 30, 2021 | 134.64% |
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();