Laureate Education (LAUR) Total Non-Current Liabilities (2016 - 2026)
Laureate Education's Total Non-Current Liabilities came in at $1.21 billion for Q2 2026, up 41.5% from $853.75 million a year earlier and up 4.5% 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 $939.43 million, up 22.3% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of -18.9% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $768.44 million in FY2024 (-25.9%), $1.04 billion in FY2023 (-2.7%), $1.07 billion in FY2022 (+9.4%) and $975.29 million in FY2021 (-63.5%).
- 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 3.0% 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 41.5%), and the weakest in Q4 2021 (a decline of 63.5%).
- Business Quant data shows LAUR's Total Non-Current Liabilities at $1.16 billion (Q1 2026), $939.43 million (Q4 2025) and $864.72 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 | 10.50 Bn | 9.49 Bn | 273.50 Mn | 17.10 Bn |
| 2 | New Oriental Education & Technology | 8.43 Bn | -6.34 Bn | 812.22 Mn | 577.92 Mn |
| 3 | Laureate Education | 5.29 Bn | 4.58 Bn | 237.67 Mn | 1.21 Bn |
| 4 | Graham Holdings | 4.82 Bn | -55.90 Mn | 392.03 Mn | 3.21 Bn |
| 5 | Covista | 4.07 Bn | 3.19 Bn | 284.63 Mn | 969.70 Mn |
| 6 | Valvoline | 3.78 Bn | 3.49 Bn | 214.90 Mn | 2.66 Bn |
| 7 | Bright Horizons Family Solutions | 3.14 Bn | 2.59 Bn | 188.96 Mn | 2.74 Bn |
| 8 | Stride | 3.14 Bn | 32.69 Mn | 217.28 Mn | 784.65 Mn |
| 9 | Onespaworld Holdings | 2.35 Bn | 2.25 Bn | 44.57 Mn | 147.53 Mn |
| 10 | TAL Education | 2.23 Bn | -11.71 Bn | 438.20 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.21 Bn |
| Mar 31, 2026 | 1.16 Bn |
| Dec 31, 2025 | 939.43 Mn |
| Sep 30, 2025 | 864.72 Mn |
| Jun 30, 2025 | 853.75 Mn |
| Mar 31, 2025 | 818.46 Mn |
| Dec 31, 2024 | 768.44 Mn |
| Sep 30, 2024 | 899.57 Mn |
| Jun 30, 2024 | 1.01 Bn |
| Mar 31, 2024 | 1.11 Bn |
| Dec 31, 2023 | 1.04 Bn |
| Sep 30, 2023 | 996.92 Mn |
| Jun 30, 2023 | 1.07 Bn |
| Mar 31, 2023 | 1.15 Bn |
| Dec 31, 2022 | 1.07 Bn |
| Sep 30, 2022 | 1.10 Bn |
| Jun 30, 2022 | 961.34 Mn |
| Mar 31, 2022 | 1.04 Bn |
| Dec 31, 2021 | 975.29 Mn |
| Sep 30, 2021 | 2.63 Bn |
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();