17 Education & Technology (YQ) Revenue (2019 - 2026)
17 Education & Technology's Revenue was $13.28 million in Q2 2026, up 274.3% from $3.55 million a year earlier but down 7.9% from the prior quarter.
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Analysis
17 Education & Technology (YQ) Revenue (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, 17 Education & Technology's Revenue was $36.08 million through Jun 30, 2026, up 80.0% year-over-year; for FY2025, it came in at $15.16 million, down 41.5% from FY2024.
- Revenue shows a five-year compound annual growth rate of -40.2% (FY2020 to FY2025).
- In earlier years, Revenue was $25.92 million in FY2024 (+7.7%), $24.08 million in FY2023 (-68.7%), $77 million in FY2022 (-77.5%) and $342.8 million in FY2021 (+72.8%).
- Quarterly Revenue has moved between $1.35 million (Q1 2023) and $85.14 million (Q4 2021) over five years.
- Compared with a year earlier, Revenue has increased for three straight quarters, with growth averaging 67.1% over the last eight quarters.
- The best year-over-year quarter for Revenue over five years was Q1 2026 (growth of 382.9%); the worst was Q1 2023 (a decline of 96.3%).
- Per Business Quant data, YQ's Revenue in the three quarters before Q2 2026 was $14.42 million (Q1 2026), $5.57 million (Q4 2025) and $2.81 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 46.20 Bn | 18.45 Bn | 695.95 Mn | 927.96 Mn |
| 3 | Samsara | 22.32 Bn | 19.09 Bn | 392.58 Mn | 508.44 Mn |
| 4 | Toast | 16.73 Bn | 9.40 Bn | 516.00 Mn | 1.91 Bn |
| 5 | Ptc | 15.53 Bn | 14.35 Bn | 490.47 Mn | 600.05 Mn |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn | 298.45 Mn |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn | 972.00 Mn |
| 8 | Manhattan Associates | 11.58 Bn | 10.58 Bn | 168.33 Mn | 297.79 Mn |
| 9 | Costar | 11.10 Bn | 5.07 Bn | 728.00 Mn | 925.00 Mn |
| 10 | 17 Education & Technology | 35.28 Mn | -187.82 Mn | 9.19 Mn | 13.28 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.28 Mn |
| Mar 31, 2026 | 14.42 Mn |
| Dec 31, 2025 | 5.57 Mn |
| Sep 30, 2025 | 2.81 Mn |
| Jun 30, 2025 | 3.55 Mn |
| Mar 31, 2025 | 2.99 Mn |
| Dec 31, 2024 | 5.01 Mn |
| Sep 30, 2024 | 8.50 Mn |
| Jun 30, 2024 | 9.29 Mn |
| Mar 31, 2024 | 3.53 Mn |
| Dec 31, 2023 | 6.67 Mn |
| Sep 30, 2023 | 6.18 Mn |
| Jun 30, 2023 | 9.55 Mn |
| Mar 31, 2023 | 1.35 Mn |
| Dec 31, 2022 | 5.74 Mn |
| Sep 30, 2022 | 17.51 Mn |
| Jun 30, 2022 | 19.93 Mn |
| Mar 31, 2022 | 36.83 Mn |
| Dec 31, 2021 | 85.14 Mn |
| Sep 30, 2021 | 77.11 Mn |
API Access
17 Education & Technology Revenue 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=revenue&ticker=YQ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=YQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();