Laureate Education (LAUR) Other non-cash items (2016 - 2026)
Laureate Education's Other non-cash items was $12.91 million in Q2 2026, down 70.7% from $44.1 million a year earlier and down 29.5% from the prior quarter.
Laureate Education (LAUR) Other non-cash items (2016 - 2026) Analysis & Trends
On a trailing twelve-month basis, Laureate Education's Other non-cash items was $105.35 million through Jun 30, 2026, up 24.0% year-over-year; for FY2025, it came in at $137.35 million, up 258.9% from FY2024.
- Other non-cash items shows a five-year compound annual growth rate of -10.8% (FY2020 to FY2025).
- In earlier years, Other non-cash items was $38.28 million in FY2024 (-75.1%), $153.76 million in FY2023 (+110.8%), $72.95 million in FY2022 (-53.6%) and $157.28 million in FY2021 (-35.2%).
- The Q2 2026 figure marks the lowest quarterly Other non-cash items since Q3 2024.
- Compared with a year earlier, Other non-cash items was higher in two of the last seven quarters, with growth averaging 50.3%.
- The best year-over-year quarter for Other non-cash items over five years was Q1 2023 (growth of 583.9%); the worst was Q3 2021 (a decline of 83.3%).
- Per Business Quant data, LAUR's Other non-cash items in the three quarters before Q2 2026 was $18.33 million (Q1 2026), $44.06 million (Q4 2025) and $30.05 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Service Corp International | 10.50 Bn | 9.57 Bn | 272.27 Mn |
| 2 | New Oriental Education & Technology | 8.07 Bn | -2.95 Bn | 20,000.00 |
| 3 | TAL Education | 6.08 Bn | -6.40 Bn | 594.64 Mn |
| 4 | Graham Holdings | 5.21 Bn | 307.76 Mn | 392.25 Mn |
| 5 | Laureate Education | 4.77 Bn | 4.12 Bn | 131.69 Mn |
| 6 | Valvoline | 4.62 Bn | 4.33 Bn | 214.90 Mn |
| 7 | Covista | 4.17 Bn | 3.34 Bn | 290.78 Mn |
| 8 | Stride | 3.33 Bn | 151.03 Mn | 241.12 Mn |
| 9 | Onespaworld Holdings | 3.13 Bn | 3.03 Bn | 49.70 Mn |
| 10 | Bright Horizons Family Solutions | 2.70 Bn | 2.15 Bn | 204.83 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 31.99 Mn |
| Jun 30, 2026 | 12.91 Mn |
| Mar 31, 2026 | 18.33 Mn |
| Dec 31, 2025 | 44.06 Mn |
| Sep 30, 2025 | 30.05 Mn |
| Jun 30, 2025 | 44.10 Mn |
| Mar 31, 2025 | 19.14 Mn |
| Dec 31, 2024 | 15.72 Mn |
| Sep 30, 2024 | 6.00 Mn |
| Jun 30, 2024 | -8.03 Mn |
| Mar 31, 2024 | 24.58 Mn |
| Dec 31, 2023 | 53.61 Mn |
| Sep 30, 2023 | 15.50 Mn |
| Jun 30, 2023 | 41.75 Mn |
| Mar 31, 2023 | 42.90 Mn |
| Dec 31, 2022 | 37.48 Mn |
| Sep 30, 2022 | -977,000.00 |
| Jun 30, 2022 | 30.18 Mn |
| Mar 31, 2022 | 6.27 Mn |
| Dec 31, 2021 | 31.00 Mn |
Laureate Education Other non-cash items 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=other-non-cash-items&ticker=LAUR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-cash-items", "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=other-non-cash-items&ticker=LAUR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();