51Talk Online Education (COE) Interest Expenses (2016 - 2022)
51Talk Online Education (COE) recorded Interest Expenses of -$11,000 in Q1 2022, compared with -$525,754 a year earlier.
51Talk Online Education (COE) Interest Expenses (2016 - 2022) Analysis & Trends
On a TTM basis, 51Talk Online Education's Interest Expenses came in at -$700,629 as of Mar 31, 2022; for FY2021, it came in at -$2,000.
- Across earlier years, Interest Expenses came in at -$9,570 in FY2020, -$1.37 million in FY2019, $1.45 million in FY2018 and -$1.86 million in FY2017.
- Quarterly Interest Expenses has ranged from -$525,754 in Q1 2021 to $755,690 in Q4 2018 over the past five years.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 49.39 Bn | 21.63 Bn | 695.95 Mn | - |
| 3 | Samsara | 23.96 Bn | 20.73 Bn | 392.58 Mn | - |
| 4 | Ptc | 22.37 Bn | 21.18 Bn | 490.47 Mn | 15.80 Mn |
| 5 | Toast | 20.05 Bn | 12.69 Bn | 543.00 Mn | - |
| 6 | Manhattan Associates | 14.85 Bn | 13.91 Bn | 174.30 Mn | - |
| 7 | Bentley Systems | 13.89 Bn | 13.37 Bn | 349.55 Mn | - |
| 8 | Trimble | 12.57 Bn | 11.65 Bn | 659.10 Mn | 20.40 Mn |
| 9 | Costar | 12.28 Bn | 7.66 Bn | 741.00 Mn | - |
| 10 | 51Talk Online Education | 256.78 Mn | 120.08 Mn | 23.93 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2022 | -11,000.00 |
| Dec 31, 2021 | -2,000.00 |
| Jun 30, 2021 | -162,000.00 |
| Mar 31, 2021 | -520,000.00 |
| Dec 31, 2020 | 29,122.41 |
| Jun 30, 2020 | -188,695.29 |
| Mar 31, 2020 | -29,947.14 |
| Dec 31, 2019 | 272,127.32 |
| Jun 30, 2019 | -73,798.00 |
| Mar 31, 2019 | -642,397.51 |
| Dec 31, 2018 | 394,000.00 |
| Mar 31, 2018 | -471,408.19 |
| Dec 31, 2017 | -777,172.19 |
| Dec 31, 2016 | -455,962.99 |
51Talk Online Education Interest Expenses 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=interest-expenses&ticker=COE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "COE", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=interest-expenses&ticker=COE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();