Laureate Education (LAUR) Total Non-Current Liabilities (2016 - 2026)
Laureate Education's Total Non-Current Liabilities came in at $1.16 billion for Q2 2026, up 42.8% from $812.41 million a year earlier and up 4.6% from the prior quarter.
Laureate Education (LAUR) Total Non-Current Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2025, Laureate Education's Total Non-Current Liabilities was $894.24 million, up 22.8% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of -19.4% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $728.19 million in FY2024 (-26.7%), $993.72 million in FY2023 (-3.1%), $1.03 billion in FY2022 (+9.2%) and $938.75 million in FY2021 (-64.2%).
- The Q2 2026 figure represents the highest quarterly Total Non-Current Liabilities since Q3 2021.
- Year-over-year, Total Non-Current Liabilities has increased for three consecutive quarters, with growth averaging 3.1% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q2 2026 (growth of 42.8%), and the weakest in Q4 2021 (a decline of 64.2%).
- Business Quant data shows LAUR's Total Non-Current Liabilities at $1.11 billion (Q1 2026), $894.24 million (Q4 2025) and $822.43 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Service Corp International | 10.04 Bn | 9.11 Bn | 272.27 Mn | 16.93 Bn |
| 2 | New Oriental Education & Technology | 8.34 Bn | 1.85 Bn | - | 572.15 Mn |
| 3 | TAL Education | 5.73 Bn | -7.61 Bn | - | 273.76 Mn |
| 4 | Graham Holdings | 5.11 Bn | 174.26 Mn | 392.25 Mn | 3.31 Bn |
| 5 | Laureate Education | 4.78 Bn | 4.13 Bn | 131.69 Mn | 1.22 Bn |
| 6 | Valvoline | 4.49 Bn | 4.20 Bn | 214.90 Mn | 2.66 Bn |
| 7 | Covista | 3.90 Bn | 3.07 Bn | 290.78 Mn | 822.13 Mn |
| 8 | Onespaworld Holdings | 3.26 Bn | 3.16 Bn | 49.70 Mn | 150.44 Mn |
| 9 | Stride | 3.17 Bn | -4.28 Mn | 241.12 Mn | 839.49 Mn |
| 10 | Bright Horizons Family Solutions | 2.49 Bn | 1.94 Bn | 204.83 Mn | 2.73 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.22 Bn |
| Jun 30, 2026 | 1.16 Bn |
| Mar 31, 2026 | 1.11 Bn |
| Dec 31, 2025 | 894.24 Mn |
| Sep 30, 2025 | 822.98 Mn |
| Jun 30, 2025 | 812.41 Mn |
| Mar 31, 2025 | 779.84 Mn |
| Dec 31, 2024 | 728.19 Mn |
| Sep 30, 2024 | 860.04 Mn |
| Jun 30, 2024 | 964.07 Mn |
| Mar 31, 2024 | 1.06 Bn |
| Dec 31, 2023 | 993.72 Mn |
| Sep 30, 2023 | 952.23 Mn |
| Jun 30, 2023 | 1.02 Bn |
| Mar 31, 2023 | 1.10 Bn |
| Dec 31, 2022 | 1.03 Bn |
| Sep 30, 2022 | 1.06 Bn |
| Jun 30, 2022 | 921.39 Mn |
| Mar 31, 2022 | 1.00 Bn |
| Dec 31, 2021 | 938.75 Mn |
Laureate Education Total Non-Current 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-non-current-liabilities&ticker=LAUR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=LAUR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();