Laureate Education (LAUR) Total Liabilities (2016 - 2026)
Laureate Education's Total Liabilities came in at $1.28 billion for Q2 2026, up 30.2% from $984.55 million a year earlier and up 4.0% from the prior quarter.
Laureate Education (LAUR) Total Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2025, Laureate Education's Total Liabilities was $1.02 billion, up 12.5% from FY2024.
- Total Liabilities carries a five-year compound annual growth rate of -17.8% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $904.92 million in FY2024 (-23.2%), $1.18 billion in FY2023 (-1.7%), $1.2 billion in FY2022 (+11.8%) and $1.07 billion in FY2021 (-60.4%).
- The Q2 2026 figure represents the highest quarterly Total Liabilities since Q3 2021.
- Year-over-year, Total Liabilities has increased for three consecutive quarters, with an average decline of 0.1% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q2 2026 (growth of 30.2%), and the weakest in Q4 2021 (a decline of 60.4%).
- Business Quant data shows LAUR's Total Liabilities at $1.23 billion (Q1 2026), $1.02 billion (Q4 2025) and $997.88 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Service Corp International | 11.15 Bn | 10.15 Bn | 273.50 Mn | 17.68 Bn |
| 2 | New Oriental Education & Technology | 9.53 Bn | -1.61 Bn | 5,600.00 | 4.47 Bn |
| 3 | TAL Education | 7.16 Bn | -5.83 Bn | 438.20 Mn | 2.69 Bn |
| 4 | Laureate Education | 5.43 Bn | 4.73 Bn | 237.67 Mn | 1.28 Bn |
| 5 | Graham Holdings | 5.11 Bn | 202.28 Mn | 392.03 Mn | 3.35 Bn |
| 6 | Covista | 4.47 Bn | 3.59 Bn | 284.63 Mn | 1.57 Bn |
| 7 | Valvoline | 4.04 Bn | 3.75 Bn | 214.90 Mn | 3.06 Bn |
| 8 | Bright Horizons Family Solutions | 3.63 Bn | 3.07 Bn | 188.96 Mn | 2.85 Bn |
| 9 | Stride | 3.55 Bn | 446.85 Mn | 217.28 Mn | 803.22 Mn |
| 10 | Onespaworld Holdings | 2.43 Bn | 2.33 Bn | 44.57 Mn | 147.63 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.28 Bn |
| Mar 31, 2026 | 1.23 Bn |
| Dec 31, 2025 | 1.02 Bn |
| Sep 30, 2025 | 997.88 Mn |
| Jun 30, 2025 | 984.55 Mn |
| Mar 31, 2025 | 952.17 Mn |
| Dec 31, 2024 | 904.92 Mn |
| Sep 30, 2024 | 1.03 Bn |
| Jun 30, 2024 | 1.15 Bn |
| Mar 31, 2024 | 1.25 Bn |
| Dec 31, 2023 | 1.18 Bn |
| Sep 30, 2023 | 1.13 Bn |
| Jun 30, 2023 | 1.20 Bn |
| Mar 31, 2023 | 1.27 Bn |
| Dec 31, 2022 | 1.20 Bn |
| Sep 30, 2022 | 1.23 Bn |
| Jun 30, 2022 | 1.09 Bn |
| Mar 31, 2022 | 1.17 Bn |
| Dec 31, 2021 | 1.07 Bn |
| Sep 30, 2021 | 2.69 Bn |
Laureate Education Total Liabilities 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=total-liabilities&ticker=LAUR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=LAUR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();