Laureate Education (LAUR) Cash & Equivalents (2016 - 2026)
Laureate Education (LAUR) posted Cash & Equivalents of $189.9 million for Q3 2026, down 21.2% from $240.99 million a year earlier but up 17.5% from the prior quarter.
Laureate Education (LAUR) Cash & Equivalents (2016 - 2026) Analysis & Trends
At the end of FY2025, Laureate Education's Cash & Equivalents came in at $146.7 million, up 60.6% from FY2024.
- Annual Cash & Equivalents has increased for three consecutive years, though with a five-year compound annual growth rate of -27.8% (FY2020 to FY2025).
- In prior years, Laureate Education's Cash & Equivalents was $91.35 million in FY2024 (+2.2%), $89.39 million in FY2023 (+5.0%), $85.17 million in FY2022 (-73.8%) and $324.8 million in FY2021 (-56.7%).
- Quarterly Cash & Equivalents has run from a low of $85.17 million in Q4 2022 to a high of $324.8 million in Q4 2021 over five years.
- On a year-over-year basis, Cash & Equivalents increased in six of the last eight quarters, with growth averaging 22.0%.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q3 2025, with growth of 79.3%; the weakest was Q3 2022, with a decline of 82.8%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $161.67 million (Q2 2026), $157.35 million (Q1 2026) and $146.7 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Service Corp International | 10.06 Bn | 9.12 Bn | 272.27 Mn | 172.65 Mn |
| 2 | New Oriental Education & Technology | 8.68 Bn | -2.70 Bn | 20,000.00 | 1.75 Bn |
| 3 | TAL Education | 5.79 Bn | -6.69 Bn | 594.64 Mn | 1.95 Bn |
| 4 | Graham Holdings | 5.18 Bn | 243.01 Mn | 392.25 Mn | 154.33 Mn |
| 5 | Laureate Education | 4.67 Bn | 4.02 Bn | 131.69 Mn | 189.90 Mn |
| 6 | Valvoline | 4.45 Bn | 4.16 Bn | 214.90 Mn | 84.20 Mn |
| 7 | Covista | 3.73 Bn | 2.90 Bn | 290.78 Mn | 222.22 Mn |
| 8 | Onespaworld Holdings | 3.16 Bn | 3.05 Bn | 49.70 Mn | 32.14 Mn |
| 9 | Stride | 3.11 Bn | -66.08 Mn | 241.12 Mn | 547.75 Mn |
| 10 | Bright Horizons Family Solutions | 2.77 Bn | 2.21 Bn | 204.83 Mn | 119.23 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 189.90 Mn |
| Jun 30, 2026 | 161.67 Mn |
| Mar 31, 2026 | 157.35 Mn |
| Dec 31, 2025 | 146.70 Mn |
| Sep 30, 2025 | 240.99 Mn |
| Jun 30, 2025 | 135.35 Mn |
| Mar 31, 2025 | 109.78 Mn |
| Dec 31, 2024 | 91.35 Mn |
| Sep 30, 2024 | 134.41 Mn |
| Jun 30, 2024 | 128.84 Mn |
| Mar 31, 2024 | 126.23 Mn |
| Dec 31, 2023 | 89.39 Mn |
| Sep 30, 2023 | 130.86 Mn |
| Jun 30, 2023 | 111.65 Mn |
| Mar 31, 2023 | 130.64 Mn |
| Dec 31, 2022 | 85.17 Mn |
| Sep 30, 2022 | 319.04 Mn |
| Jun 30, 2022 | 156.91 Mn |
| Mar 31, 2022 | 293.84 Mn |
| Dec 31, 2021 | 324.80 Mn |
Laureate Education Cash & Equivalents 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=cash-and-equivalents&ticker=LAUR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=LAUR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();