51Talk Online Education (COE) Interest Expenses (2018 - 2022)
51Talk Online Education (COE) recorded Interest Expenses of -$11,000 in Q1 2022, compared with -$525,754 a year earlier.
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Analysis
51Talk Online Education (COE) Interest Expenses (2018 - 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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | - |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | - |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | - |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 15.80 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 20.90 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | - |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | - |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | - |
| 10 | 51Talk Online Education | 281.74 Mn | 130.69 Mn | 23.93 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2022 | -11,000.00 |
| Dec 31, 2021 | -2,000.00 |
| Jun 30, 2021 | -161,874.49 |
| Mar 31, 2021 | -525,754.23 |
| 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 |
API Access
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_KEYimport 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();