51Talk Online Education (COE) Return on Sales [ROS] (2015 - 2026)
51Talk Online Education (COE) recorded Return on Sales [ROS] of -6.49% in Q2 2026, up 9.00 percentage points from -15.49% a year earlier but down 1.93 percentage points from the prior quarter.
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Analysis
51Talk Online Education (COE) Return on Sales [ROS] (2015 - 2026) Analysis & Trends
On a TTM basis, 51Talk Online Education's Return on Sales [ROS] came in at -11.03% as of Jun 30, 2026, down 1.88 percentage points year-over-year; for FY2025, it was -15.09%, up 0.78 percentage points from FY2024.
- Annual Return on Sales [ROS] has increased for three straight years, though with a five-year change of -19.90 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at -15.87% in FY2024 (+39.57 pp), -55.45% in FY2023 (+227.36 pp), -282.80% in FY2022 (-1252.77 pp) and 969.96% in FY2021 (+965.16 pp).
- Quarterly Return on Sales [ROS] has ranged from -187.22% in Q1 2022 to 10.18% in Q3 2021 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] rose in six of the last eight quarters, with an average year-over-year change of +15.72 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 141.26 percentage points in Q1 2023, against a drop of 188.21 percentage points in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at -4.56% (Q1 2026), -16.93% (Q4 2025) and -17.40% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 46.20 Bn | 18.45 Bn | 695.95 Mn | 29.64% |
| 3 | Samsara | 22.32 Bn | 19.09 Bn | 392.58 Mn | 0.96% |
| 4 | Toast | 16.73 Bn | 9.40 Bn | 516.00 Mn | 7.97% |
| 5 | Ptc | 15.53 Bn | 14.35 Bn | 490.47 Mn | 27.75% |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn | 11.37% |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn | 13.58% |
| 8 | Manhattan Associates | 11.58 Bn | 10.58 Bn | 168.33 Mn | 22.24% |
| 9 | Costar | 11.10 Bn | 5.07 Bn | 728.00 Mn | 8.22% |
| 10 | 51Talk Online Education | 275.52 Mn | 124.47 Mn | 23.93 Mn | -6.49% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -6.49% |
| Mar 31, 2026 | -4.56% |
| Dec 31, 2025 | -16.93% |
| Sep 30, 2025 | -17.40% |
| Jun 30, 2025 | -15.49% |
| Mar 31, 2025 | -8.23% |
| Dec 31, 2024 | -5.28% |
| Sep 30, 2024 | -5.60% |
| Jun 30, 2024 | -22.03% |
| Mar 31, 2024 | -42.19% |
| Dec 31, 2023 | -57.69% |
| Sep 30, 2023 | -49.20% |
| Jun 30, 2023 | -47.12% |
| Mar 31, 2023 | -45.97% |
| Dec 31, 2022 | -43.02% |
| Sep 30, 2022 | -56.13% |
| Jun 30, 2022 | -116.02% |
| Mar 31, 2022 | -187.22% |
| Dec 31, 2021 | 0.91% |
| Sep 30, 2021 | 10.18% |
API Access
51Talk Online Education Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=COE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=COE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();