17 Education & Technology (YQ) Cash & Equivalents (2019 - 2026)
17 Education & Technology (YQ) reported Cash & Equivalents of $67.33 million for Q2 2026, up 108.3% from $32.32 million a year earlier and up 166.0% from the prior quarter.
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Analysis
17 Education & Technology (YQ) Cash & Equivalents (2019 - 2026) Analysis & Trends
At the end of FY2025, 17 Education & Technology posted Cash & Equivalents of $35.24 million, up 9.9% from FY2024.
- Cash & Equivalents has a five-year compound annual growth rate of -39.5% (FY2020 to FY2025).
- By year, Cash & Equivalents came in at $32.08 million in FY2024 (-25.8%), $43.23 million in FY2023 (-57.9%), $102.64 million in FY2022 (-44.6%) and $185.31 million in FY2021 (-57.3%).
- The Q2 2026 figure ranks as the highest quarterly Cash & Equivalents since Q4 2022.
- Year over year, Cash & Equivalents gained in two of the last eight quarters, with growth averaging 24.2%.
- The high point for year-over-year Cash & Equivalents in five years was Q4 2025 (growth of 277.2%); the low point was Q4 2024 (a decline of 78.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $25.31 million (Q1 2026), $34.75 million (Q4 2025) and $34.21 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 44.24 Bn | 16.49 Bn | 695.95 Mn | 1.81 Bn |
| 3 | Samsara | 24.06 Bn | 20.83 Bn | 392.58 Mn | 291.39 Mn |
| 4 | Toast | 17.18 Bn | 9.85 Bn | 516.00 Mn | 1.02 Bn |
| 5 | Ptc | 15.95 Bn | 14.76 Bn | 490.47 Mn | 351.45 Mn |
| 6 | Duolingo | 13.49 Bn | 8.67 Bn | 216.74 Mn | 1.18 Bn |
| 7 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 214.40 Mn |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn | 186.11 Mn |
| 9 | Costar | 11.09 Bn | 5.06 Bn | 728.00 Mn | 1.27 Bn |
| 10 | 17 Education & Technology | 36.28 Mn | -186.82 Mn | 9.19 Mn | 67.33 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 67.33 Mn |
| Mar 31, 2026 | 25.31 Mn |
| Dec 31, 2025 | 34.75 Mn |
| Sep 30, 2025 | 34.21 Mn |
| Jun 30, 2025 | 32.32 Mn |
| Mar 31, 2025 | 37.26 Mn |
| Dec 31, 2024 | 9.21 Mn |
| Sep 30, 2024 | 39.93 Mn |
| Jun 30, 2024 | 48.03 Mn |
| Mar 31, 2024 | 38.03 Mn |
| Dec 31, 2023 | 42.63 Mn |
| Sep 30, 2023 | 59.13 Mn |
| Jun 30, 2023 | 35.85 Mn |
| Mar 31, 2023 | 60.92 Mn |
| Dec 31, 2022 | 99.53 Mn |
| Sep 30, 2022 | 119.62 Mn |
| Jun 30, 2022 | 133.44 Mn |
| Mar 31, 2022 | 128.31 Mn |
| Dec 31, 2021 | 184.70 Mn |
| Sep 30, 2021 | 220.75 Mn |
API Access
17 Education & Technology Cash & Equivalents 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=cash-and-equivalents&ticker=YQ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=YQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();