51Talk Online Education (COE) Current Assets (2015 - 2026)
51Talk Online Education (COE) posted Current Assets of $64.52 million for Q2 2026, up 29.9% from $49.67 million a year earlier and up 7.9% from the prior quarter.
51Talk Online Education (COE) Current Assets (2015 - 2026) Analysis & Trends
At the end of FY2025, 51Talk Online Education's Current Assets came in at $60.4 million, up 50.6% from FY2024.
- Annual Current Assets has increased for three consecutive years, though with a five-year compound annual growth rate of -24.6% (FY2020 to FY2025).
- In prior years, 51Talk Online Education's Current Assets was $40.09 million in FY2024 (+34.6%), $29.78 million in FY2023 (+12.1%), $26.57 million in FY2022 (-82.4%) and $151.25 million in FY2021 (-39.0%).
- The Q2 2026 figure stands as the highest quarterly Current Assets since Q1 2022.
- On a year-over-year basis, Current Assets has increased in each of the last 13 quarters, with growth averaging 43.4% over the last eight quarters.
- The strongest year-over-year quarter for Current Assets in the past five years was Q3 2025, with growth of 61.6%; the weakest was Q2 2022, with a decline of 89.2%.
- According to Business Quant data, Current Assets for the three prior quarters was $59.79 million (Q1 2026), $60.4 million (Q4 2025) and $59.25 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 1,909.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 7.95 Bn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 1.57 Bn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 2.65 Bn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 1.37 Bn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 1.34 Bn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 1.57 Bn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 467.06 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 1.65 Bn |
| 10 | 51Talk Online Education | 281.74 Mn | 130.69 Mn | 23.93 Mn | 64.52 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 64.52 Mn |
| Mar 31, 2026 | 59.79 Mn |
| Dec 31, 2025 | 60.40 Mn |
| Sep 30, 2025 | 59.25 Mn |
| Jun 30, 2025 | 49.67 Mn |
| Mar 31, 2025 | 42.01 Mn |
| Dec 31, 2024 | 40.09 Mn |
| Sep 30, 2024 | 36.67 Mn |
| Jun 30, 2024 | 31.45 Mn |
| Mar 31, 2024 | 29.55 Mn |
| Dec 31, 2023 | 29.78 Mn |
| Sep 30, 2023 | 28.60 Mn |
| Jun 30, 2023 | 26.90 Mn |
| Mar 31, 2023 | 27.00 Mn |
| Dec 31, 2022 | 26.57 Mn |
| Sep 30, 2022 | 25.67 Mn |
| Jun 30, 2022 | 26.10 Mn |
| Mar 31, 2022 | 125.53 Mn |
| Dec 31, 2021 | 150.83 Mn |
| Sep 30, 2021 | 236.93 Mn |
51Talk Online Education Current Assets 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=current-assets&ticker=COE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-assets", "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=current-assets&ticker=COE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();