51Talk Online Education (COE) Change in Accured Expenses (2019 - 2020)
51Talk Online Education (COE) reported Change in Accured Expenses of $6.37 million for FY2025, up 980.8% from $589,000 in FY2024.
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Analysis
51Talk Online Education (COE) Change in Accured Expenses (2019 - 2020) Analysis & Trends
Dating back to FY2014, 51Talk Online Education's Change in Accured Expenses record includes 12 years.
- Change in Accured Expenses has a five-year compound annual growth rate of -8.9% (FY2020 to FY2025).
- The FY2025 figure ranks as the highest annual Change in Accured Expenses since FY2020.
- According to Business Quant data, Change in Accured Expenses came in at $589,000 in FY2024 (-68.5%), $1.87 million in FY2023 (-16.5%), $2.24 million in FY2022 and -$4.55 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 50,912.00 |
| 2 | Veeva Systems | 46.20 Bn | 18.45 Bn | 695.95 Mn | -10.50 Mn |
| 3 | Samsara | 22.32 Bn | 19.09 Bn | 392.58 Mn | 34.27 Mn |
| 4 | Toast | 16.73 Bn | 9.40 Bn | 516.00 Mn | 57.00 Mn |
| 5 | Ptc | 15.53 Bn | 14.35 Bn | 490.47 Mn | 133.18 Mn |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn | 1.20 Mn |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn | 42.10 Mn |
| 8 | Manhattan Associates | 11.58 Bn | 10.58 Bn | 168.33 Mn | 20.69 Mn |
| 9 | Costar | 11.10 Bn | 5.07 Bn | 728.00 Mn | 33.00 Mn |
| 10 | 51Talk Online Education | 275.52 Mn | 124.47 Mn | 23.93 Mn | - |
API Access
51Talk Online Education Change in Accured 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=change-in-accured-expenses&ticker=COE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=COE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();