Laureate Education (LAUR) Cash & Equivalents Growth (3y) (2019 - 2026)
Powered by 
Analysis
Laureate Education (LAUR) Cash & Equivalents Growth (3y) (2019 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. Growth (3y) (Qtr) |
|---|---|---|---|---|---|
| 1 | Service Corp International | 10.64 Bn | 10.38 Bn | 273.50 Mn | 14.71% |
| 2 | New Oriental Education & Technology | 8.69 Bn | 6.29 Bn | -19,600.00 | 3.08% |
| 3 | Laureate Education | 5.06 Bn | 4.90 Bn | 237.67 Mn | 13.13% |
| 4 | Graham Holdings | 4.89 Bn | 3.68 Bn | 777.03 Mn | 11.95% |
| 5 | Covista | 4.19 Bn | 3.78 Bn | 284.63 Mn | 14.29% |
| 6 | Valvoline | 3.67 Bn | 3.58 Bn | 214.90 Mn | -45.73% |
| 7 | Bright Horizons Family Solutions | 3.28 Bn | 3.11 Bn | 188.96 Mn | 35.35% |
| 8 | Stride | 3.26 Bn | 2.30 Bn | 217.28 Mn | 22.46% |
| 9 | TAL Education | 2.28 Bn | -596.06 Mn | 438.20 Mn | -12.20% |
| 10 | Onespaworld Holdings | 2.26 Bn | 2.22 Bn | 84.35 Mn | 11.94% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.13% |
| Mar 31, 2026 | 6.40% |
| Dec 31, 2025 | 19.87% |
| Sep 30, 2025 | -8.93% |
| Jun 30, 2025 | -4.81% |
| Mar 31, 2025 | -27.98% |
| Dec 31, 2024 | -34.48% |
| Sep 30, 2024 | -58.32% |
| Jun 30, 2024 | -32.94% |
| Mar 31, 2024 | -39.19% |
| Dec 31, 2023 | -50.79% |
| Sep 30, 2023 | -43.27% |
| Jun 30, 2023 | -26.74% |
| Mar 31, 2023 | -24.18% |
| Dec 31, 2022 | 11.42% |
| Sep 30, 2022 | 50.74% |
| Jun 30, 2022 | -9.23% |
| Mar 31, 2022 | 2.34% |
| Dec 31, 2021 | 61.04% |
| Sep 30, 2021 | 68.96% |
API Access
Laureate Education Cash & Equivalents Growth (3y) 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=cash-and-equivalents-growth-3y&ticker=LAUR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents-growth-3y", "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=cash-and-equivalents-growth-3y&ticker=LAUR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();