Laureate Education (LAUR) Selling, General & Administrative (2016 - 2026)
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Analysis
Laureate Education (LAUR) Selling, General & Administrative (2016 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Service Corp International | 10.64 Bn | 10.38 Bn | 273.50 Mn | 41.78 Mn |
| 2 | New Oriental Education & Technology | 8.69 Bn | 6.29 Bn | -19,600.00 | 463.91 Mn |
| 3 | Laureate Education | 5.06 Bn | 4.90 Bn | 237.67 Mn | 14.24 Mn |
| 4 | Graham Holdings | 4.89 Bn | 3.68 Bn | 777.03 Mn | - |
| 5 | Covista | 4.19 Bn | 3.78 Bn | 284.63 Mn | 188.09 Mn |
| 6 | Valvoline | 3.67 Bn | 3.58 Bn | 214.90 Mn | 103.00 Mn |
| 7 | Bright Horizons Family Solutions | 3.28 Bn | 3.11 Bn | 188.96 Mn | 108.00 Mn |
| 8 | Stride | 3.26 Bn | 2.30 Bn | 217.28 Mn | 111.43 Mn |
| 9 | TAL Education | 2.28 Bn | -596.06 Mn | 438.20 Mn | 128.97 Mn |
| 10 | Onespaworld Holdings | 2.26 Bn | 2.22 Bn | 84.35 Mn | 7.19 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.24 Mn |
| Mar 31, 2026 | 11.13 Mn |
| Dec 31, 2025 | 14.40 Mn |
| Sep 30, 2025 | 12.22 Mn |
| Jun 30, 2025 | 13.47 Mn |
| Mar 31, 2025 | 10.99 Mn |
| Dec 31, 2024 | 11.22 Mn |
| Sep 30, 2024 | 10.64 Mn |
| Jun 30, 2024 | 13.65 Mn |
| Mar 31, 2024 | 10.27 Mn |
| Dec 31, 2023 | 18.57 Mn |
| Sep 30, 2023 | 11.77 Mn |
| Jun 30, 2023 | 11.96 Mn |
| Mar 31, 2023 | 10.31 Mn |
| Dec 31, 2022 | 16.00 Mn |
| Sep 30, 2022 | 15.32 Mn |
| Jun 30, 2022 | 15.93 Mn |
| Mar 31, 2022 | 17.51 Mn |
| Dec 31, 2021 | 65.10 Mn |
| Sep 30, 2021 | 47.32 Mn |
API Access
Laureate Education Selling, General & Administrative 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=selling-general-and-administrative&ticker=LAUR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=LAUR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();