51Talk Online Education (COE) Non Operating Interest Expenses (2018 - 2022)
51Talk Online Education's Non Operating Interest Expenses was -$11,000 in Q1 2022, compared with -$520,000 a year earlier.
51Talk Online Education (COE) Non Operating Interest Expenses (2018 - 2022) Analysis & Trends
On a trailing twelve-month basis, 51Talk Online Education's Non Operating Interest Expenses was -$695,000 through Mar 31, 2022; for FY2021, it came in at -$2,000.
- In earlier years, Non Operating Interest Expenses was -$10,000 in FY2020, $1.36 million in FY2019 (-6.0%), $1.45 million in FY2018 and -$1.86 million in FY2017.
- Quarterly Non Operating Interest Expenses has moved between -$520,000 (Q1 2021) and $755,690 (Q4 2018) over five years.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 46.20 Bn | 18.45 Bn | 695.95 Mn | - |
| 3 | Samsara | 22.32 Bn | 19.09 Bn | 392.58 Mn | - |
| 4 | Toast | 16.73 Bn | 9.40 Bn | 516.00 Mn | - |
| 5 | Ptc | 15.53 Bn | 14.35 Bn | 490.47 Mn | 15.80 Mn |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn | - |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn | 20.90 Mn |
| 8 | Manhattan Associates | 11.58 Bn | 10.58 Bn | 168.33 Mn | - |
| 9 | Costar | 11.10 Bn | 5.07 Bn | 728.00 Mn | - |
| 10 | 51Talk Online Education | 275.52 Mn | 124.47 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 | 189,000.00 |
| Mar 31, 2020 | 30,000.00 |
| Dec 31, 2019 | 272,127.32 |
| Jun 30, 2019 | -73,798.00 |
| Mar 31, 2019 | 647,000.00 |
| Dec 31, 2018 | 755,689.59 |
| Mar 31, 2018 | -471,408.19 |
51Talk Online Education Non Operating 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=non-operating-interest-expenses&ticker=COE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-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=non-operating-interest-expenses&ticker=COE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();