17 Education & Technology (YQ) Return on Capital Employed [ROCE] (2021 - 2026)
17 Education & Technology's Return on Capital Employed [ROCE] came in at -51.17% for Q2 2026, down 9.00 percentage points from -42.18% a year earlier and down 3.58 percentage points from the prior quarter.
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Analysis
17 Education & Technology (YQ) Return on Capital Employed [ROCE] (2021 - 2026) Analysis & Trends
For FY2025, 17 Education & Technology's Return on Capital Employed [ROCE] was -60.22%, down 15.21 percentage points from FY2024.
- Return on Capital Employed [ROCE] carries a five-year change of +85.67 percentage points (FY2020 to FY2025).
- Going back by year, Return on Capital Employed [ROCE] was -45.01% in FY2024 (+6.43 pp), -51.44% in FY2023 (-32.78 pp), -18.66% in FY2022 (+64.94 pp) and -83.60% in FY2021 (+62.29 pp).
- The five-year range for quarterly Return on Capital Employed [ROCE] is -173.43% (Q4 2021) to -13.42% (Q3 2022).
- Year-over-year, Return on Capital Employed [ROCE] increased in six of the last eight quarters, with an average year-over-year change of +13.59 percentage points.
- The fastest year-over-year change in Return on Capital Employed [ROCE] over five years came in Q4 2022 (a gain of 138.25 percentage points), and the weakest in Q1 2022 (a drop of 67.16 percentage points).
- Business Quant data shows YQ's Return on Capital Employed [ROCE] at -47.59% (Q1 2026), -67.46% (Q4 2025) and -51.20% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 44.24 Bn | 16.49 Bn | 695.95 Mn | 13.55% |
| 3 | Samsara | 24.06 Bn | 20.83 Bn | 392.58 Mn | 1.12% |
| 4 | Toast | 17.18 Bn | 9.85 Bn | 516.00 Mn | 21.19% |
| 5 | Ptc | 15.95 Bn | 14.76 Bn | 490.47 Mn | 21.53% |
| 6 | Duolingo | 13.49 Bn | 8.67 Bn | 216.74 Mn | 10.56% |
| 7 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 8.74% |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn | 112.05% |
| 9 | Costar | 11.09 Bn | 5.06 Bn | 728.00 Mn | 0.82% |
| 10 | 17 Education & Technology | 36.28 Mn | -186.82 Mn | 9.19 Mn | -51.17% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -51.17% |
| Mar 31, 2026 | -47.59% |
| Dec 31, 2025 | -67.46% |
| Sep 30, 2025 | -51.20% |
| Jun 30, 2025 | -42.18% |
| Mar 31, 2025 | -78.61% |
| Dec 31, 2024 | -63.00% |
| Sep 30, 2024 | -58.06% |
| Jun 30, 2024 | -69.26% |
| Mar 31, 2024 | -114.37% |
| Dec 31, 2023 | -83.25% |
| Sep 30, 2023 | -59.25% |
| Jun 30, 2023 | -45.49% |
| Mar 31, 2023 | -68.82% |
| Dec 31, 2022 | -35.18% |
| Sep 30, 2022 | -13.42% |
| Jun 30, 2022 | -71.39% |
| Mar 31, 2022 | -159.85% |
| Dec 31, 2021 | -173.43% |
| Sep 30, 2021 | -132.84% |
API Access
17 Education & Technology Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=YQ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "YQ", "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-capital-employed-%5Broce%5D&ticker=YQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();