Vynleads (VYND) Operating Expenses (2020 - 2026)
Vynleads' Operating Expenses was $58,482 in Q2 2026, up 11.6% from $52,407 a year earlier but down 37.1% from the prior quarter.
Vynleads (VYND) Operating Expenses (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Vynleads' Operating Expenses was $264,524 through Jun 30, 2026, up 14.5% year-over-year; for FY2025, it was $240,819, up 7.3% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of -10.6% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $224,346 in FY2024 (+12.1%), $200,156 in FY2023 (-13.8%), $232,100 in FY2022 (-1.1%) and $234,790 in FY2021 (-44.2%).
- Quarterly Operating Expenses has moved between $35,899 (Q4 2023) and $92,942 (Q1 2026) over five years.
- Compared with a year earlier, Operating Expenses was higher in seven of the last eight quarters, with growth averaging 14.6%.
- The best year-over-year quarter for Operating Expenses over five years was Q4 2024 (growth of 46.7%); the worst was Q4 2021 (a decline of 59.4%).
- Per Business Quant data, VYND's Operating Expenses in the three quarters before Q2 2026 was $92,942 (Q1 2026), $52,516 (Q4 2025) and $60,584 (Q3 2025).
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 | 45.35 Bn | 17.59 Bn | 695.95 Mn | 420.93 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 387.71 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 364.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 323.96 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 542.90 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 182.80 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 231.56 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 652.00 Mn |
| 10 | Vynleads | 7.51 Mn | 7.41 Mn | -2,986.00 | 58,482.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 58,482.00 |
| Mar 31, 2026 | 92,942.00 |
| Dec 31, 2025 | 52,516.00 |
| Sep 30, 2025 | 60,584.00 |
| Jun 30, 2025 | 52,407.00 |
| Mar 31, 2025 | 75,313.00 |
| Dec 31, 2024 | 52,652.00 |
| Sep 30, 2024 | 50,617.00 |
| Jun 30, 2024 | 51,321.00 |
| Mar 31, 2024 | 69,755.00 |
| Dec 31, 2023 | 35,899.00 |
| Sep 30, 2023 | 47,949.00 |
| Jun 30, 2023 | 59,472.00 |
| Mar 31, 2023 | 56,836.00 |
| Dec 31, 2022 | 42,222.00 |
| Sep 30, 2022 | 55,804.00 |
| Jun 30, 2022 | 55,028.00 |
| Mar 31, 2022 | 79,048.00 |
| Dec 31, 2021 | 40,160.00 |
| Sep 30, 2021 | 54,111.00 |
Vynleads 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=VYND&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=VYND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();