Lensar (LNSR) Total Current Liabilities (2019 - 2026)
Lensar (LNSR) posted Total Current Liabilities of $19.64 million for Q2 2026, down 34.7% from $30.09 million a year earlier but up 10.3% from the prior quarter.
Lensar (LNSR) Total Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Lensar's Total Current Liabilities came in at $40.57 million, up 170.4% from FY2024.
- Annual Total Current Liabilities has increased for six consecutive years, with a five-year compound annual growth rate of 36.8% (FY2020 to FY2025).
- In prior years, Lensar's Total Current Liabilities was $15 million in FY2024 (+29.0%), $11.63 million in FY2023 (+1.8%), $11.42 million in FY2022 (+31.1%) and $8.71 million in FY2021 (+2.9%).
- Quarterly Total Current Liabilities has run from a low of $7.76 million in Q1 2022 to a high of $40.57 million in Q4 2025 over five years.
- On a year-over-year basis, Total Current Liabilities increased in six of the last eight quarters, with growth averaging 86.6%.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q3 2025, with growth of 205.9%; the weakest was Q2 2026, with a decline of 34.7%.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $17.8 million (Q1 2026), $40.57 million (Q4 2025) and $35.73 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 15.07 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 17.81 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 8.11 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 1.92 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 11.80 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 6.68 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 6.43 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 1.51 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 9.40 Bn |
| 10 | Lensar | 84.75 Mn | 36.62 Mn | 9.78 Mn | 19.64 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.64 Mn |
| Mar 31, 2026 | 17.80 Mn |
| Dec 31, 2025 | 40.57 Mn |
| Sep 30, 2025 | 35.73 Mn |
| Jun 30, 2025 | 30.09 Mn |
| Mar 31, 2025 | 27.17 Mn |
| Dec 31, 2024 | 15.00 Mn |
| Sep 30, 2024 | 11.68 Mn |
| Jun 30, 2024 | 10.37 Mn |
| Mar 31, 2024 | 10.45 Mn |
| Dec 31, 2023 | 11.63 Mn |
| Sep 30, 2023 | 11.01 Mn |
| Jun 30, 2023 | 10.56 Mn |
| Mar 31, 2023 | 9.99 Mn |
| Dec 31, 2022 | 11.42 Mn |
| Sep 30, 2022 | 9.79 Mn |
| Jun 30, 2022 | 11.22 Mn |
| Mar 31, 2022 | 7.76 Mn |
| Dec 31, 2021 | 8.71 Mn |
| Sep 30, 2021 | 8.03 Mn |
Lensar Total Current 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-current-liabilities&ticker=LNSR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "ticker": "LNSR", "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-current-liabilities&ticker=LNSR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();