51Talk Online Education (COE) Total Debt (2018 - 2019)
51Talk Online Education's Total Debt was $2.35 million in Q4 2019, down 76.4% from $9.99 million a year earlier and down 44.6% from the prior quarter.
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Analysis
51Talk Online Education (COE) Total Debt (2018 - 2019) Analysis & Trends
At the end of FY2019, Total Debt at 51Talk Online Education came in at $2.4 million, down 76.1% from FY2018.
- In earlier years, Total Debt was $10.04 million in FY2018.
- The Q4 2019 figure marks the lowest quarterly Total Debt since Q1 2018.
- Compared with a year earlier, Total Debt was higher in two of the last four quarters, with growth averaging 183.3%.
- Per Business Quant data, COE's Total Debt in the three quarters before Q4 2019 was $4.25 million (Q3 2019), $6.22 million (Q2 2019) and $8.15 million (Q1 2019).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 139,037.00 |
| 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 | 25.10 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 1.46 Bn |
| 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 | 994.00 Mn |
| 10 | 51Talk Online Education | 281.74 Mn | 130.69 Mn | 23.93 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | 2.35 Mn |
| Sep 30, 2019 | 4.25 Mn |
| Jun 30, 2019 | 6.22 Mn |
| Mar 31, 2019 | 8.15 Mn |
| Dec 31, 2018 | 9.99 Mn |
| Sep 30, 2018 | 11.12 Mn |
| Jun 30, 2018 | 3.76 Mn |
| Mar 31, 2018 | 900,000.00 |
API Access
51Talk Online Education Total Debt 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=total-debt&ticker=COE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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=total-debt&ticker=COE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();