Veeva Systems (VEEV) Long-Term Debt Repayments (2019 - 2020)
Veeva Systems' Long-Term Debt Repayments came in at $251,000 for fiscal Q2 2021 (quarter ended Jul 31, 2020), up 5.0% from $239,000 a year earlier and up 1.2% from the prior quarter.
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Analysis
Veeva Systems (VEEV) Long-Term Debt Repayments (2019 - 2020) Analysis & Trends
Over the trailing twelve months to Jul 31, 2020, Veeva Systems reported Long-Term Debt Repayments of $995,000; for FY2020 (ended Jan 31, 2020), it came in at $984,000.
- The five-year range for quarterly Long-Term Debt Repayments is $239,000 (fiscal Q2 2020) to $255,000 (fiscal Q4 2020).
- Business Quant data shows VEEV's Long-Term Debt Repayments at $248,000 (Q1 2021), $255,000 (Q4 2020) and $241,000 (Q3 2020) in the three fiscal quarters before Q2 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (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 | 582.50 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 | Bentley Systems | 9.64 Bn | 9.10 Bn | 336.74 Mn | 291.23 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2020 | 251,000.00 |
| Apr 30, 2020 | 248,000.00 |
| Jan 31, 2020 | 255,000.00 |
| Oct 31, 2019 | 241,000.00 |
| Jul 31, 2019 | 239,000.00 |
| Apr 30, 2019 | 249,000.00 |
API Access
Veeva Systems Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=VEEV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "VEEV", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=long-term-debt-repayments&ticker=VEEV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();