51Talk Online Education (COE) Cash & Equivalents (2015 - 2026)
51Talk Online Education (COE) reported Cash & Equivalents of $39.98 million for Q2 2026, up 44.0% from $27.77 million a year earlier and up 12.8% from the prior quarter.
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Analysis
51Talk Online Education (COE) Cash & Equivalents (2015 - 2026) Analysis & Trends
At the end of FY2025, 51Talk Online Education posted Cash & Equivalents of $38.87 million, up 40.0% from FY2024.
- Cash & Equivalents has a five-year compound annual growth rate of -4.9% (FY2020 to FY2025).
- By year, Cash & Equivalents came in at $27.76 million in FY2024 (+30.3%), $21.3 million in FY2023 (-48.8%), $41.61 million in FY2022 (+69.1%) and $24.61 million in FY2021 (-50.8%).
- The Q2 2026 figure ranks as the highest quarterly Cash & Equivalents since Q4 2022.
- Year over year, Cash & Equivalents has now increased in each of the last eight quarters, with growth averaging 44.4% over the last eight quarters.
- The high point for year-over-year Cash & Equivalents in five years was Q1 2025 (growth of 69.5%); the low point was Q3 2022 (a decline of 66.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $35.43 million (Q1 2026), $38.87 million (Q4 2025) and $33.53 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 46.20 Bn | 18.45 Bn | 695.95 Mn | 1.81 Bn |
| 3 | Samsara | 22.32 Bn | 19.09 Bn | 392.58 Mn | 291.39 Mn |
| 4 | Toast | 16.73 Bn | 9.40 Bn | 516.00 Mn | 1.02 Bn |
| 5 | Ptc | 15.53 Bn | 14.35 Bn | 490.47 Mn | 351.45 Mn |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn | 1.18 Bn |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn | 214.40 Mn |
| 8 | Manhattan Associates | 11.58 Bn | 10.58 Bn | 168.33 Mn | 186.11 Mn |
| 9 | Costar | 11.10 Bn | 5.07 Bn | 728.00 Mn | 1.27 Bn |
| 10 | 51Talk Online Education | 275.52 Mn | 124.47 Mn | 23.93 Mn | 39.98 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 39.98 Mn |
| Mar 31, 2026 | 35.43 Mn |
| Dec 31, 2025 | 38.87 Mn |
| Sep 30, 2025 | 33.53 Mn |
| Jun 30, 2025 | 27.77 Mn |
| Mar 31, 2025 | 29.42 Mn |
| Dec 31, 2024 | 27.76 Mn |
| Sep 30, 2024 | 22.19 Mn |
| Jun 30, 2024 | 16.69 Mn |
| Mar 31, 2024 | 17.35 Mn |
| Dec 31, 2023 | 18.19 Mn |
| Sep 30, 2023 | 19.97 Mn |
| Jun 30, 2023 | 16.86 Mn |
| Mar 31, 2023 | 18.80 Mn |
| Dec 31, 2022 | 41.61 Mn |
| Sep 30, 2022 | 21.26 Mn |
| Jun 30, 2022 | 21.12 Mn |
| Mar 31, 2022 | 47.28 Mn |
| Dec 31, 2021 | 33.59 Mn |
| Sep 30, 2021 | 63.76 Mn |
API Access
51Talk Online Education Cash & Equivalents 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=cash-and-equivalents&ticker=COE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=COE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();