Laureate Education (LAUR) EV to FCF (2017 - 2026)
Laureate Education's (LAUR) quarterly EV to FCF came in at 57.8 in Q2 2026, up 6.1% on a YoY basis from 54.48 in Q2 2025, and down 34.38% quarter-over-quarter from 88.07 in Q1 2026.
Laureate Education (LAUR) EV to FCF (2017 - 2026) Analysis & Trends
Laureate Education (LAUR) has reported EV to FCF for 10 consecutive years, with 57.8 the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, EV to FCF rose 6.1% year-over-year to 57.8; the trailing twelve-month figure through Jun 2026 stood at 16.9 (up 16.35% YoY), and the FY2025 full-year result was 17.74, up 7.08% from the prior year.
- EV to FCF eased to 57.8 in Q2 2026 per LAUR's latest filing, from 88.07 in the prior quarter.
- Across five years, EV to FCF topped out at 793.17 in Q4 2024 and bottomed at 269.74 in Q4 2022.
- Historically, EV to FCF has averaged 79.64 across 5 years, with a median of 59.63 in 2023.
- The sharpest annual moves came in 2022 and 2024: EV to FCF plunged 1451.09% in 2022, then surged 1190.68% in 2024.
- Over 5 years, EV to FCF stood at 269.74 in 2022, then surged by 122.78% to 61.45 in 2023, then soared by 1190.68% to 793.17 in 2024, then slumped by 77.71% to 176.77 in 2025, then tumbled by 67.3% to 57.8 in 2026.
- According to Business Quant data, EV to FCF over the past three periods registered 57.8, 88.07, and 176.77 for Q2 2026, Q1 2026, and Q4 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 | 57.80 |
| Mar 31, 2026 | 88.07 |
| Dec 31, 2025 | 176.77 |
| Sep 30, 2025 | 35.90 |
| Jun 30, 2025 | 54.48 |
| Mar 31, 2025 | 55.13 |
| Dec 31, 2024 | 793.17 |
| Sep 30, 2024 | 21.37 |
| Jun 30, 2024 | 72.82 |
| Mar 31, 2024 | 123.46 |
| Dec 31, 2023 | 61.45 |
| Sep 30, 2023 | 21.56 |
| Jun 30, 2023 | 97.64 |
| Mar 31, 2023 | 198.22 |
| Dec 31, 2022 | -269.74 |
| Sep 30, 2022 | 34.55 |
| Jun 30, 2022 | -264.33 |
| Mar 31, 2022 | 75.19 |
| Dec 31, 2021 | -17.39 |
| Sep 30, 2021 | 43.98 |
Laureate Education EV to FCF 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-fcf&ticker=LAUR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-fcf", "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-fcf&ticker=LAUR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();