Laureate Education (LAUR) Buildings (2016 - 2026)
Laureate Education's (LAUR) quarterly Buildings came in at $417.2 million in Q2 2026, up 14.29% on a YoY basis from $365.0 million in Q2 2025, and up 2.1% quarter-over-quarter from $408.6 million in Q1 2026.
Laureate Education (LAUR) Buildings (2016 - 2026) Analysis & Trends
Laureate Education (LAUR) has reported Buildings for 11 consecutive years, with $417.2 million the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Buildings rose 14.29% year-over-year to $417.2 million; the trailing twelve-month figure through Jun 2026 stood at $417.2 million (up 14.29% YoY), and the FY2025 full-year result was $397.1 million, up 14.27% from the prior year.
- Buildings advanced to $417.2 million in Q2 2026 per LAUR's latest filing, from $408.6 million in the prior quarter.
- Across five years, Buildings topped out at $417.2 million in Q2 2026 and bottomed at $333.8 million in Q3 2022.
- Historically, Buildings has averaged $367.7 million across 5 years, with a median of $363.3 million in 2023.
- The sharpest annual moves came in 2024 and 2026: Buildings fell 8.05% in 2024, then increased 15.64% in 2026.
- Over 5 years, Buildings stood at $348.9 million in 2022, then gained by 8.32% to $378.0 million in 2023, then declined by 8.05% to $347.5 million in 2024, then rose by 14.27% to $397.1 million in 2025, then climbed by 5.06% to $417.2 million in 2026.
- According to Business Quant data, Buildings over the past three periods registered $417.2 million, $408.6 million, and $397.1 million 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 | 417.20 Mn |
| Mar 31, 2026 | 408.61 Mn |
| Dec 31, 2025 | 397.10 Mn |
| Sep 30, 2025 | 381.56 Mn |
| Jun 30, 2025 | 365.05 Mn |
| Mar 31, 2025 | 353.34 Mn |
| Dec 31, 2024 | 347.52 Mn |
| Sep 30, 2024 | 348.87 Mn |
| Jun 30, 2024 | 354.31 Mn |
| Mar 31, 2024 | 377.87 Mn |
| Dec 31, 2023 | 377.95 Mn |
| Sep 30, 2023 | 370.22 Mn |
| Jun 30, 2023 | 383.09 Mn |
| Mar 31, 2023 | 361.54 Mn |
| Dec 31, 2022 | 348.93 Mn |
| Sep 30, 2022 | 333.84 Mn |
| Jun 30, 2022 | 345.56 Mn |
| Mar 31, 2022 | 346.87 Mn |
| Dec 31, 2021 | 328.34 Mn |
| Sep 30, 2021 | 320.96 Mn |
Laureate Education Buildings 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=buildings&ticker=LAUR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "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=buildings&ticker=LAUR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();