17 Education & Technology (YQ) Non Operating Interest Expenses (2019 - 2020)
17 Education & Technology (YQ) reported Non Operating Interest Expenses of -$13,000 for Q4 2020, compared with -$21,424 a year earlier.
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Analysis
17 Education & Technology (YQ) Non Operating Interest Expenses (2019 - 2020) Analysis & Trends
For FY2020, 17 Education & Technology posted Non Operating Interest Expenses of -$448,000.
- By year, Non Operating Interest Expenses came in at -$68,812 in FY2019.
- Per Business Quant data, the three quarters before Q4 2020 came in at -$16,615 (Q3 2020), -$240,632 (Q2 2020) and -$146,297 (Q1 2020).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (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 | 15.80 Mn |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn | - |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn | 20.90 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, 2020 | -13,000.00 |
| Sep 30, 2020 | -16,615.09 |
| Jun 30, 2020 | -240,632.37 |
| Mar 31, 2020 | -146,296.79 |
| Dec 31, 2019 | -21,424.00 |
API Access
17 Education & Technology Non Operating Interest 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=non-operating-interest-expenses&ticker=YQ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=YQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();