17 Education & Technology (YQ) Operating Expenses (2019 - 2026)
17 Education & Technology's Operating Expenses came in at -$9.28 million for Q2 2026, compared with -$6.01 million a year earlier.
17 Education & Technology (YQ) Operating Expenses (2019 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, 17 Education & Technology reported Operating Expenses of -$39.65 million; for FY2025, it came in at -$30.63 million.
- Going back by year, Operating Expenses was -$38.77 million in FY2024, -$59.64 million in FY2023, -$77.71 million in FY2022 and -$436.21 million in FY2021.
- The five-year range for quarterly Operating Expenses is -$115.42 million (Q3 2021) to -$5.75 million (Q1 2025).
- Business Quant data shows YQ's Operating Expenses at -$12.02 million (Q1 2026), -$10.37 million (Q4 2025) and -$7.99 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 178,646.00 |
| 2 | Veeva Systems | 52.05 Bn | 24.30 Bn | 695.95 Mn | 420.93 Mn |
| 3 | Samsara | 25.30 Bn | 22.08 Bn | 392.58 Mn | 387.71 Mn |
| 4 | Ptc | 22.27 Bn | 21.08 Bn | 490.47 Mn | 323.96 Mn |
| 5 | Toast | 18.84 Bn | 11.51 Bn | 516.00 Mn | 364.00 Mn |
| 6 | Trimble | 14.60 Bn | 13.67 Bn | 674.90 Mn | 542.90 Mn |
| 7 | Manhattan Associates | 13.86 Bn | 12.85 Bn | 168.33 Mn | 231.56 Mn |
| 8 | Costar | 13.30 Bn | 7.25 Bn | 728.00 Mn | 652.00 Mn |
| 9 | Bentley Systems | 11.98 Bn | 11.44 Bn | 336.74 Mn | 248.13 Mn |
| 10 | 17 Education & Technology | 33.07 Mn | -191.34 Mn | 9.19 Mn | -9.28 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -9.28 Mn |
| Mar 31, 2026 | -12.02 Mn |
| Dec 31, 2025 | -10.37 Mn |
| Sep 30, 2025 | -7.99 Mn |
| Jun 30, 2025 | -6.01 Mn |
| Mar 31, 2025 | -5.75 Mn |
| Dec 31, 2024 | -11.15 Mn |
| Sep 30, 2024 | -8.26 Mn |
| Jun 30, 2024 | -9.77 Mn |
| Mar 31, 2024 | -10.07 Mn |
| Dec 31, 2023 | -17.30 Mn |
| Sep 30, 2023 | -14.13 Mn |
| Jun 30, 2023 | -12.59 Mn |
| Mar 31, 2023 | -15.48 Mn |
| Dec 31, 2022 | -20.44 Mn |
| Sep 30, 2022 | -16.94 Mn |
| Jun 30, 2022 | -15.50 Mn |
| Mar 31, 2022 | -26.94 Mn |
| Dec 31, 2021 | -59.67 Mn |
| Sep 30, 2021 | -115.42 Mn |
17 Education & Technology Operating Expenses 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=operating-expenses&ticker=YQ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=YQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();