17 Education & Technology Group Inc. (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.
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Analysis
17 Education & Technology Group Inc. (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.
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Historic Data
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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 |
API Access
17 Education & Technology Group Inc. 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_KEYimport 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();