Laureate Education (LAUR) EV to EBITDA (2017 - 2026)
Laureate Education's (LAUR) quarterly EV to EBITDA came in at 21.67 in Q2 2026, up 26.53% on a YoY basis from 17.13 in Q2 2025, and up 112.64% quarter-over-quarter from 171.5 in Q1 2026.
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Laureate Education (LAUR) EV to EBITDA (2017 - 2026) Analysis & Trends
Laureate Education (LAUR) has reported EV to EBITDA for 10 consecutive years, with 21.67 the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, EV to EBITDA rose 26.53% year-over-year to 21.67; the trailing twelve-month figure through Jun 2026 stood at 10.84 (up 23.17% YoY), and the FY2025 full-year result was 10.83, up 51.98% from the prior year.
- EV to EBITDA climbed to 21.67 in Q2 2026 per LAUR's latest filing, from 171.5 in the prior quarter.
- Across five years, EV to EBITDA topped out at 438.34 in Q1 2022 and bottomed at 222.19 in Q1 2025.
- Historically, EV to EBITDA has averaged 50.53 across 5 years, with a median of 29.46 in 2023.
- The sharpest annual moves came in 2022 and 2025: EV to EBITDA surged 1882.03% in 2022, then tumbled 215.98% in 2025.
- Over 5 years, EV to EBITDA stood at 43.05 in 2022, then plunged by 56.31% to 18.81 in 2023, then rose by 14.04% to 21.45 in 2024, then advanced by 21.24% to 26.0 in 2025, then fell by 16.66% to 21.67 in 2026.
- According to Business Quant data, EV to EBITDA over the past three periods registered 21.67, 171.5, and 26.0 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 | 21.67 |
| Mar 31, 2026 | -171.50 |
| Dec 31, 2025 | 26.00 |
| Sep 30, 2025 | 61.68 |
| Jun 30, 2025 | 17.13 |
| Mar 31, 2025 | -222.19 |
| Dec 31, 2024 | 21.45 |
| Sep 30, 2024 | 32.84 |
| Jun 30, 2024 | 12.89 |
| Mar 31, 2024 | 191.57 |
| Dec 31, 2023 | 18.81 |
| Sep 30, 2023 | 35.53 |
| Jun 30, 2023 | 27.37 |
| Mar 31, 2023 | 261.72 |
| Dec 31, 2022 | 43.05 |
| Sep 30, 2022 | 61.58 |
| Jun 30, 2022 | 31.56 |
| Mar 31, 2022 | 438.34 |
| Dec 31, 2021 | -366.80 |
| Sep 30, 2021 | 36.53 |
API Access
Laureate Education EV to EBITDA 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=ev-to-ebitda&ticker=LAUR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=LAUR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();