Laureate Education (LAUR) Notes Payables (2016 - 2020)
Laureate Education's (LAUR) quarterly Notes Payables came in at $8.1 million in Q2 2020, down 42.93% on a YoY basis from $14.2 million in Q3 2019, and down 5.37% quarter-over-quarter from $8.6 million in Q1 2020.
Laureate Education (LAUR) Notes Payables (2016 - 2020) Analysis & Trends
Laureate Education (LAUR) has reported Notes Payables for 5 consecutive years, with $8.1 million the latest figure, recorded in Q2 2020.
- For the quarter ending Q2 2020, Notes Payables fell 42.93% year-over-year to $8.1 million; the trailing twelve-month figure through Jun 2020 stood at $8.1 million (down 42.93% YoY), and the FY2019 full-year result was $1.1 million, down 95.34% from the prior year.
- Notes Payables eased to $8.1 million in Q2 2020 per LAUR's latest filing, from $8.6 million in the prior quarter.
- Across five years, Notes Payables topped out at $136.8 million in Q1 2017 and bottomed at $1.1 million in Q4 2019.
- Historically, Notes Payables has averaged $41.9 million across 5 years, with a median of $24.5 million in 2018.
- The sharpest annual moves came in 2018 and 2019: Notes Payables fell 20.14% in 2018, then plunged 95.34% in 2019.
- Over 5 years, Notes Payables stood at $118.7 million in 2016, then sank by 70.72% to $34.7 million in 2017, then plunged by 31.44% to $23.8 million in 2018, then slumped by 95.34% to $1.1 million in 2019, then surged by 632.73% to $8.1 million in 2020.
- According to Business Quant data, Notes Payables over the past three periods registered $8.1 million, $8.6 million, and $1.1 million for Q2 2020, Q1 2020, and Q4 2019 respectively.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Service Corp International | 10.64 Bn | 10.38 Bn | 273.50 Mn |
| 2 | New Oriental Education & Technology | 8.69 Bn | 6.29 Bn | -19,600.00 |
| 3 | Laureate Education | 5.06 Bn | 4.90 Bn | 237.67 Mn |
| 4 | Graham Holdings | 4.89 Bn | 3.68 Bn | 777.03 Mn |
| 5 | Covista | 4.19 Bn | 3.78 Bn | 284.63 Mn |
| 6 | Valvoline | 3.67 Bn | 3.58 Bn | 214.90 Mn |
| 7 | Bright Horizons Family Solutions | 3.28 Bn | 3.11 Bn | 188.96 Mn |
| 8 | Stride | 3.26 Bn | 2.30 Bn | 217.28 Mn |
| 9 | TAL Education | 2.28 Bn | -596.06 Mn | 438.20 Mn |
| 10 | Onespaworld Holdings | 2.26 Bn | 2.22 Bn | 84.35 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2020 | 8.13 Mn |
| Mar 31, 2020 | 8.59 Mn |
| Dec 31, 2019 | 1.11 Mn |
| Sep 30, 2019 | 11.50 Mn |
| Jun 30, 2019 | 14.24 Mn |
| Mar 31, 2019 | 25.25 Mn |
| Dec 31, 2018 | 23.82 Mn |
| Sep 30, 2018 | 23.07 Mn |
| Jun 30, 2018 | 24.48 Mn |
| Mar 31, 2018 | 35.43 Mn |
| Dec 31, 2017 | 34.75 Mn |
| Sep 30, 2017 | 28.88 Mn |
| Jun 30, 2017 | 133.08 Mn |
| Mar 31, 2017 | 136.77 Mn |
| Dec 31, 2016 | 118.68 Mn |
Laureate Education Notes Payables 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=notes-payables&ticker=LAUR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "notes-payables", "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=notes-payables&ticker=LAUR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();