17 Education & Technology (YQ) Equity Income (2022 - 2025)
17 Education & Technology (YQ) posted Equity Income of -$7.58 million for Q4 2025, compared with -$8.73 million a year earlier.
Analysis
17 Education & Technology (YQ) Equity Income (2022 - 2025) Analysis & Trends
For FY2025, 17 Education & Technology's Equity Income came in at -$22.08 million.
- In prior years, 17 Education & Technology's Equity Income was -$26.43 million in FY2024 and -$43.3 million in FY2023.
- Quarterly Equity Income has run from a low of -$13.67 million in Q4 2023 to a high of -$2,000 in Q1 2023 over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Equity Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 46.20 Bn | 18.45 Bn | 695.95 Mn | - |
| 3 | Samsara | 22.32 Bn | 19.09 Bn | 392.58 Mn | - |
| 4 | Toast | 16.73 Bn | 9.40 Bn | 516.00 Mn | - |
| 5 | Ptc | 15.53 Bn | 14.35 Bn | 490.47 Mn | - |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn | - |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn | 2.60 Mn |
| 8 | Manhattan Associates | 11.58 Bn | 10.58 Bn | 168.33 Mn | - |
| 9 | Costar | 11.10 Bn | 5.07 Bn | 728.00 Mn | - |
| 10 | 17 Education & Technology | 35.28 Mn | -187.82 Mn | 9.19 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -7.58 Mn |
| Sep 30, 2025 | -6.25 Mn |
| Jun 30, 2025 | -3.62 Mn |
| Dec 31, 2024 | -8.73 Mn |
| Sep 30, 2024 | -2.48 Mn |
| Jun 30, 2024 | -7.67 Mn |
| Dec 31, 2023 | -13.67 Mn |
| Sep 30, 2023 | -10.08 Mn |
| Jun 30, 2023 | -6.61 Mn |
| Mar 31, 2023 | -2,000.00 |
| Sep 30, 2022 | -3.44 Mn |
| Jun 30, 2022 | -4.01 Mn |
API Access
17 Education & Technology Equity Income 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=equity-income&ticker=YQ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "equity-income", "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=equity-income&ticker=YQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();