Laureate Education (LAUR) EBITDA (2016 - 2026)
Laureate Education's EBITDA came in at $246.44 million for Q2 2026, up 16.8% from $211 million a year earlier.
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Analysis
Laureate Education (LAUR) EBITDA (2016 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Laureate Education reported EBITDA of $533.21 million, up 20.4% year-over-year; for FY2025, it came in at $505.6 million, up 14.3% from FY2024.
- EBITDA has increased in each of the last four years.
- Going back by year, EBITDA was $442.22 million in FY2024 (+8.3%), $408.44 million in FY2023 (+24.1%), $329.14 million in FY2022 (+240.8%) and $96.58 million in FY2021.
- The Q2 2026 figure represents the highest quarterly EBITDA since Q2 2018.
- Year-over-year, EBITDA increased in six of the last seven quarters, with growth averaging 1.8%.
- The fastest year-over-year change in EBITDA over five years came in Q4 2022 (growth of 542.0%), and the weakest in Q1 2025 (a decline of 90.1%).
- Business Quant data shows LAUR's EBITDA at -$4.94 million (Q1 2026), $200.65 million (Q4 2025) and $91.06 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Service Corp International | 11.15 Bn | 10.15 Bn | 273.50 Mn | 294.61 Mn |
| 2 | New Oriental Education & Technology | 9.53 Bn | -1.61 Bn | 5,600.00 | - |
| 3 | TAL Education | 7.16 Bn | -5.83 Bn | 438.20 Mn | - |
| 4 | Laureate Education | 5.43 Bn | 4.73 Bn | 237.67 Mn | 246.44 Mn |
| 5 | Graham Holdings | 5.11 Bn | 202.28 Mn | 392.03 Mn | 107.89 Mn |
| 6 | Covista | 4.47 Bn | 3.59 Bn | 284.63 Mn | 110.18 Mn |
| 7 | Valvoline | 4.04 Bn | 3.75 Bn | 214.90 Mn | 150.40 Mn |
| 8 | Bright Horizons Family Solutions | 3.63 Bn | 3.07 Bn | 188.96 Mn | 104.42 Mn |
| 9 | Stride | 3.55 Bn | 446.85 Mn | 217.28 Mn | 140.00 Mn |
| 10 | Onespaworld Holdings | 2.43 Bn | 2.33 Bn | 44.57 Mn | 31.98 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 246.44 Mn |
| Mar 31, 2026 | -4.94 Mn |
| Dec 31, 2025 | 200.65 Mn |
| Sep 30, 2025 | 91.06 Mn |
| Jun 30, 2025 | 211.00 Mn |
| Mar 31, 2025 | 2.89 Mn |
| Dec 31, 2024 | 140.36 Mn |
| Sep 30, 2024 | 88.65 Mn |
| Jun 30, 2024 | 184.04 Mn |
| Mar 31, 2024 | 29.18 Mn |
| Dec 31, 2023 | 127.66 Mn |
| Sep 30, 2023 | 76.63 Mn |
| Jun 30, 2023 | 171.81 Mn |
| Mar 31, 2023 | 32.35 Mn |
| Dec 31, 2022 | 93.52 Mn |
| Sep 30, 2022 | 70.79 Mn |
| Jun 30, 2022 | 141.43 Mn |
| Mar 31, 2022 | 23.40 Mn |
| Dec 31, 2021 | 14.57 Mn |
| Sep 30, 2021 | 61.03 Mn |
API Access
Laureate Education 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=ebitda&ticker=LAUR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=ebitda&ticker=LAUR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();