Laureate Education (LAUR) Non-Current Assets (2016 - 2026)
Laureate Education (LAUR) posted Non-Current Assets of $2.06 billion for Q2 2026, up 20.2% from $1.71 billion a year earlier and up 2.4% from the prior quarter.
Laureate Education (LAUR) Non-Current Assets (2016 - 2026) Analysis & Trends
At the end of FY2025, Laureate Education's Non-Current Assets came in at $1.89 billion, up 15.5% from FY2024.
- Annual Non-Current Assets shows a five-year compound annual growth rate of -11.7% (FY2020 to FY2025).
- In prior years, Laureate Education's Non-Current Assets was $1.63 billion in FY2024 (-14.0%), $1.9 billion in FY2023 (+8.9%), $1.75 billion in FY2022 (+4.7%) and $1.67 billion in FY2021 (-52.7%).
- The Q2 2026 figure stands as the highest quarterly Non-Current Assets since Q2 2021.
- On a year-over-year basis, Non-Current Assets has increased in each of the last four quarters, with growth averaging 2.9% over the last eight quarters.
- The strongest year-over-year quarter for Non-Current Assets in the past five years was Q1 2026, with growth of 23.3%; the weakest was Q3 2021, with a decline of 52.8%.
- According to Business Quant data, Non-Current Assets for the three prior quarters was $2.01 billion (Q1 2026), $1.89 billion (Q4 2025) and $1.75 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Service Corp International | 11.15 Bn | 10.15 Bn | 273.50 Mn | 18.76 Bn |
| 2 | New Oriental Education & Technology | 9.53 Bn | -1.61 Bn | 5,600.00 | 2.55 Bn |
| 3 | TAL Education | 7.16 Bn | -5.83 Bn | 438.20 Mn | 3.08 Bn |
| 4 | Laureate Education | 5.43 Bn | 4.73 Bn | 237.67 Mn | 2.06 Bn |
| 5 | Graham Holdings | 5.11 Bn | 202.28 Mn | 392.03 Mn | 5.87 Bn |
| 6 | Covista | 4.47 Bn | 3.59 Bn | 284.63 Mn | 2.36 Bn |
| 7 | Valvoline | 4.04 Bn | 3.75 Bn | 214.90 Mn | 3.20 Bn |
| 8 | Bright Horizons Family Solutions | 3.63 Bn | 3.07 Bn | 188.96 Mn | 3.33 Bn |
| 9 | Stride | 3.55 Bn | 446.85 Mn | 217.28 Mn | 719.43 Mn |
| 10 | Onespaworld Holdings | 2.43 Bn | 2.33 Bn | 44.57 Mn | 560.75 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.06 Bn |
| Mar 31, 2026 | 2.01 Bn |
| Dec 31, 2025 | 1.89 Bn |
| Sep 30, 2025 | 1.75 Bn |
| Jun 30, 2025 | 1.71 Bn |
| Mar 31, 2025 | 1.63 Bn |
| Dec 31, 2024 | 1.63 Bn |
| Sep 30, 2024 | 1.67 Bn |
| Jun 30, 2024 | 1.77 Bn |
| Mar 31, 2024 | 1.91 Bn |
| Dec 31, 2023 | 1.90 Bn |
| Sep 30, 2023 | 1.82 Bn |
| Jun 30, 2023 | 1.88 Bn |
| Mar 31, 2023 | 1.82 Bn |
| Dec 31, 2022 | 1.75 Bn |
| Sep 30, 2022 | 1.64 Bn |
| Jun 30, 2022 | 1.70 Bn |
| Mar 31, 2022 | 1.72 Bn |
| Dec 31, 2021 | 1.67 Bn |
| Sep 30, 2021 | 1.74 Bn |
Laureate Education Non-Current Assets 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=non-current-assets&ticker=LAUR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=LAUR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();