Vynleads (VYND) Total Liabilities (2020 - 2026)
Vynleads (VYND) recorded Total Liabilities of $475,546 in Q2 2026, up 50.2% from $316,636 a year earlier and up 12.8% from the prior quarter.
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Analysis
Vynleads (VYND) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Vynleads reported Total Liabilities of $406,140, up 29.1% from FY2024.
- Annual Total Liabilities has a five-year compound annual growth rate of 0.9% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $314,568 in FY2024 (-60.9%), $805,331 in FY2023 (+22.1%), $659,817 in FY2022 (+27.6%) and $517,256 in FY2021 (+33.2%).
- The Q2 2026 figure is the highest quarterly Total Liabilities since Q3 2024.
- On a year-over-year basis, Total Liabilities has increased for three consecutive quarters, with an average decline of 14.6% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 50.2% in Q2 2026, against a decline of 63.3% in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $421,730 (Q1 2026), $406,140 (Q4 2025) and $366,738 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 206,169.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 1.63 Bn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 1.17 Bn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 1.14 Bn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 3.04 Bn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 3.43 Bn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 664.21 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 541.14 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 2.19 Bn |
| 10 | Vynleads | 7.51 Mn | 7.41 Mn | -2,986.00 | 475,546.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 475,546.00 |
| Mar 31, 2026 | 421,730.00 |
| Dec 31, 2025 | 406,140.00 |
| Sep 30, 2025 | 366,738.00 |
| Jun 30, 2025 | 316,636.00 |
| Mar 31, 2025 | 315,389.00 |
| Dec 31, 2024 | 314,568.00 |
| Sep 30, 2024 | 868,751.00 |
| Jun 30, 2024 | 862,939.00 |
| Mar 31, 2024 | 836,490.00 |
| Dec 31, 2023 | 805,331.00 |
| Sep 30, 2023 | 756,889.00 |
| Jun 30, 2023 | 727,767.00 |
| Mar 31, 2023 | 716,827.00 |
| Dec 31, 2022 | 659,817.00 |
| Sep 30, 2022 | 619,362.00 |
| Jun 30, 2022 | 603,973.00 |
| Mar 31, 2022 | 562,097.00 |
| Dec 31, 2021 | 517,256.00 |
| Sep 30, 2021 | 470,489.00 |
API Access
Vynleads Total Liabilities 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=total-liabilities&ticker=VYND&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=VYND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();