Laureate Education (LAUR) Operating Expenses (2016 - 2026)
Laureate Education's Operating Expenses was $14.24 million in Q2 2026, up 5.8% from $13.47 million a year earlier and up 27.9% from the prior quarter.
Laureate Education (LAUR) Operating Expenses (2016 - 2026) Analysis & Trends
On a trailing twelve-month basis, Laureate Education's Operating Expenses was $51.99 million through Jun 30, 2026, up 12.3% year-over-year; for FY2025, it came in at $51.07 million, up 11.6% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of -23.9% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $45.78 million in FY2024 (-13.0%), $52.61 million in FY2023 (-18.7%), $64.75 million in FY2022 (-68.3%) and $204.37 million in FY2021 (+2.3%).
- Quarterly Operating Expenses has moved between $10.27 million (Q1 2024) and $65.1 million (Q4 2021) over five years.
- Compared with a year earlier, Operating Expenses has increased for four straight quarters, with growth averaging 0.8% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q4 2025 (growth of 28.3%); the worst was Q4 2022 (a decline of 75.4%).
- Per Business Quant data, LAUR's Operating Expenses in the three quarters before Q2 2026 was $11.13 million (Q1 2026), $14.4 million (Q4 2025) and $12.22 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Service Corp International | 11.15 Bn | 10.15 Bn | 273.50 Mn | 41.78 Mn |
| 2 | New Oriental Education & Technology | 9.53 Bn | -1.61 Bn | 5,600.00 | 1.44 Bn |
| 3 | TAL Education | 7.16 Bn | -5.83 Bn | 438.20 Mn | 301.00 Mn |
| 4 | Laureate Education | 5.43 Bn | 4.73 Bn | 237.67 Mn | 14.24 Mn |
| 5 | Graham Holdings | 5.11 Bn | 202.28 Mn | 392.03 Mn | 1.22 Bn |
| 6 | Covista | 4.47 Bn | 3.59 Bn | 284.63 Mn | 405.94 Mn |
| 7 | Valvoline | 4.04 Bn | 3.75 Bn | 214.90 Mn | 103.10 Mn |
| 8 | Bright Horizons Family Solutions | 3.63 Bn | 3.07 Bn | 188.96 Mn | 108.00 Mn |
| 9 | Stride | 3.55 Bn | 446.85 Mn | 217.28 Mn | 111.43 Mn |
| 10 | Onespaworld Holdings | 2.43 Bn | 2.33 Bn | 44.57 Mn | 236.74 Mn |
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 |
Laureate Education Operating Expenses 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=operating-expenses&ticker=LAUR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=LAUR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();