Lightspeed Commerce (LSPD) Restructuring Costs (2020 - 2026)
Lightspeed Commerce's Restructuring Costs came in at $3.69 million for the quarter ended Jun 30, 2026, up 204.8% from $1.21 million a year earlier and up 159.9% from the prior quarter.
Lightspeed Commerce (LSPD) Restructuring Costs (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Lightspeed Commerce reported Restructuring Costs of $8.11 million, down 11.6% year-over-year; for the year ended Mar 31, 2026, it came in at $5.63 million, down 67.8% from the prior year.
- Restructuring Costs carries a five-year compound annual growth rate of 26.2% (years ended Mar 2021 to Mar 2026).
- Going back by year, Restructuring Costs was $17.5 million in the year ended Mar 31, 2025 (+142.9%), $7.21 million in the year ended Mar 31, 2024 (-74.9%), $28.68 million in the year ended Mar 31, 2023 and $803,000 in the year ended Mar 31, 2022 (-54.4%).
- The figure for the quarter ended Jun 30, 2026 represents the highest quarterly Restructuring Costs since the quarter ended Dec 31, 2024.
- Year-over-year, Restructuring Costs increased in four of the last eight quarters, with growth averaging 172.0%.
- The fastest year-over-year change in Restructuring Costs over five years came in the quarter ended Sep 30, 2025 (growth of 889.0%), and the weakest in the quarter ended Jun 30, 2025 (a decline of 87.3%).
- Business Quant data shows LSPD's Restructuring Costs at $1.42 million (quarter ended Mar 31, 2026), $1.38 million (quarter ended Dec 31, 2025) and $1.62 million (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn |
| 10 | Lightspeed Commerce | 1.34 Bn | -432.55 Mn | 138.56 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.69 Mn |
| Mar 31, 2026 | 1.42 Mn |
| Dec 31, 2025 | 1.38 Mn |
| Sep 30, 2025 | 1.62 Mn |
| Jun 30, 2025 | 1.21 Mn |
| Mar 31, 2025 | 1.43 Mn |
| Dec 31, 2024 | 6.37 Mn |
| Sep 30, 2024 | 164,000.00 |
| Jun 30, 2024 | 9.54 Mn |
| Mar 31, 2024 | 5.42 Mn |
| Dec 31, 2023 | 1.23 Mn |
| Sep 30, 2023 | 80,000.00 |
| Jun 30, 2023 | 472,000.00 |
| Mar 31, 2023 | 25.55 Mn |
| Dec 31, 2022 | 1.32 Mn |
| Sep 30, 2022 | 603,000.00 |
| Jun 30, 2022 | 1.21 Mn |
| Mar 31, 2022 | 606,000.00 |
| Jun 30, 2021 | 197,000.00 |
| Mar 31, 2020 | 1.16 Mn |
Lightspeed Commerce Restructuring Costs 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=restructuring-costs&ticker=LSPD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=LSPD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();