Lightspeed Commerce (LSPD) Net Long-Term Debt Issued (Repaid) (2023)
Lightspeed Commerce's Non-Current Debt came in at $29.84 million for the quarter ended Mar 31, 2022, up 0.2% from $29.77 million a year earlier and up 0.1% from the prior quarter.
Lightspeed Commerce (LSPD) Net Long-Term Debt Issued (Repaid) (2023) Analysis & Trends
Going back to the quarter ended Mar 31, 2020, Lightspeed Commerce's Non-Current Debt data covers 8 quarters.
- Going back by year, Non-Current Debt was $29.77 million in the year ended Mar 31, 2021 (+0.3%) and $29.69 million in the year ended Mar 31, 2020.
- The figure for the quarter ended Mar 31, 2022 represents the highest quarterly Non-Current Debt in data going back to the quarter ended Mar 31, 2020.
- Year-over-year, Non-Current Debt has increased for three consecutive quarters, with growth averaging 0.2% over the last four quarters.
- Business Quant data shows LSPD's Non-Current Debt at $29.82 million (quarter ended Dec 31, 2021), $29.81 million (quarter ended Sep 30, 2021) and $29.79 million (quarter ended Jun 30, 2021) in the three quarters before the quarter ended Mar 31, 2022.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 127,466.00 |
| 2 | Veeva Systems | 49.39 Bn | 21.63 Bn | 695.95 Mn | - |
| 3 | Samsara | 23.96 Bn | 20.73 Bn | 392.58 Mn | - |
| 4 | Ptc | 22.37 Bn | 21.18 Bn | 490.47 Mn | - |
| 5 | Toast | 20.05 Bn | 12.69 Bn | 543.00 Mn | - |
| 6 | Manhattan Associates | 14.85 Bn | 13.91 Bn | 174.30 Mn | - |
| 7 | Bentley Systems | 13.89 Bn | 13.37 Bn | 349.55 Mn | -55.65 Mn |
| 8 | Trimble | 12.57 Bn | 11.65 Bn | 659.10 Mn | 73.90 Mn |
| 9 | Costar | 12.28 Bn | 7.66 Bn | 741.00 Mn | - |
| 10 | Lightspeed Commerce | 1.43 Bn | -215.18 Mn | 142.75 Mn | - |
Lightspeed Commerce Net Long-Term Debt Issued (Repaid) 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-current-debt&ticker=LSPD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "ticker": "LSPD", "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-current-debt&ticker=LSPD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();