Vynleads (VYND) Accumulated Expenses (2020 - 2023)
Vynleads (VYND) reported Accumulated Expenses of $96,000 for Q3 2023, unchanged from $96,000 a year earlier and unchanged from the prior quarter.
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Analysis
Vynleads (VYND) Accumulated Expenses (2020 - 2023) Analysis & Trends
Dating back to Q4 2020, Vynleads' Accumulated Expenses record includes 12 quarters.
- By year, Accumulated Expenses came in at $96,000 in FY2021 (+14.3%) and $84,000 in FY2020.
- Year over year, Accumulated Expenses gained in 1 of the last eight quarters, with growth averaging 1.8%.
- The year-over-year growth in Accumulated Expenses has ranged between 0.0% (Q1 2022) and 14.3% (Q4 2021) over the last five years.
- Per Business Quant data, the three quarters before Q3 2023 came in at $96,000 (Q2 2023), $96,000 (Q1 2023) and $96,000 (Q4 2022).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 8 | Manhattan Associates | 11.58 Bn | 10.58 Bn | 168.33 Mn |
| 9 | Costar | 11.10 Bn | 5.07 Bn | 728.00 Mn |
| 10 | Vynleads | 7.51 Mn | 7.41 Mn | -2,986.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | 96,000.00 |
| Jun 30, 2023 | 96,000.00 |
| Mar 31, 2023 | 96,000.00 |
| Dec 31, 2022 | 96,000.00 |
| Sep 30, 2022 | 96,000.00 |
| Jun 30, 2022 | 96,000.00 |
| Mar 31, 2022 | 96,000.00 |
| Dec 31, 2021 | 96,000.00 |
| Sep 30, 2021 | 96,000.00 |
| Jun 30, 2021 | 96,000.00 |
| Mar 31, 2021 | 96,000.00 |
| Dec 31, 2020 | 84,000.00 |
API Access
Vynleads Accumulated 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=accumulated-expenses&ticker=VYND&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "VYND", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=VYND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();