Lensar (LNSR) Total Non-Current Liabilities (2019 - 2026)
Lensar (LNSR) recorded Total Non-Current Liabilities of $39.64 million in Q2 2026, down 14.3% from $46.23 million a year earlier but up 1.1% from the prior quarter.
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Analysis
Lensar (LNSR) Total Non-Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Lensar reported Total Non-Current Liabilities of $57.26 million, up 81.3% from FY2024.
- Annual Total Non-Current Liabilities has increased for four straight years, with a five-year compound annual growth rate of 37.2% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $31.58 million in FY2024 (+14.0%), $27.7 million in FY2023 (+102.3%), $13.69 million in FY2022 (+18.9%) and $11.52 million in FY2021 (-2.2%).
- Quarterly Total Non-Current Liabilities has ranged from $10.44 million in Q1 2022 to $57.26 million in Q4 2025 over the past five years.
- On a year-over-year basis, Total Non-Current Liabilities rose in five of the last eight quarters, with growth averaging 38.6%.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 123.1% in Q3 2023, against a decline of 14.3% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $39.19 million (Q1 2026), $57.26 million (Q4 2025) and $52.61 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.16 Bn | 230.19 Bn | 4.88 Bn | 55.95 Bn |
| 2 | Abbott Laboratories | 176.10 Bn | 146.53 Bn | 7.27 Bn | - |
| 3 | Danaher | 162.46 Bn | 146.26 Bn | 3.61 Bn | 33.25 Bn |
| 4 | Intuitive Surgical | 155.10 Bn | 134.52 Bn | 1.96 Bn | - |
| 5 | Medtronic | 121.47 Bn | 86.72 Bn | 6.34 Bn | 38.93 Bn |
| 6 | Stryker | 116.95 Bn | 103.07 Bn | 4.50 Bn | 20.88 Bn |
| 7 | Boston Scientific | 66.62 Bn | 61.39 Bn | 3.85 Bn | 17.56 Bn |
| 8 | Becton Dickinson | 54.20 Bn | 51.35 Bn | 2.32 Bn | 23.92 Bn |
| 9 | Edwards Lifesciences | 51.52 Bn | 35.53 Bn | 1.35 Bn | 2.19 Bn |
| 10 | Lensar | 71.32 Mn | 9.42 Mn | 9.78 Mn | 38.76 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 38.76 Mn |
| Mar 31, 2026 | 38.37 Mn |
| Dec 31, 2025 | 56.35 Mn |
| Sep 30, 2025 | 51.70 Mn |
| Jun 30, 2025 | 45.68 Mn |
| Mar 31, 2025 | 42.91 Mn |
| Dec 31, 2024 | 30.88 Mn |
| Sep 30, 2024 | 26.78 Mn |
| Jun 30, 2024 | 25.61 Mn |
| Mar 31, 2024 | 25.80 Mn |
| Dec 31, 2023 | 27.13 Mn |
| Sep 30, 2023 | 26.65 Mn |
| Jun 30, 2023 | 26.34 Mn |
| Mar 31, 2023 | 12.16 Mn |
| Dec 31, 2022 | 13.69 Mn |
| Sep 30, 2022 | 12.20 Mn |
| Jun 30, 2022 | 13.76 Mn |
| Mar 31, 2022 | 10.44 Mn |
| Dec 31, 2021 | 11.52 Mn |
| Sep 30, 2021 | 10.97 Mn |
API Access
Lensar Total Non-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-non-current-liabilities&ticker=LNSR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-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-non-current-liabilities&ticker=LNSR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();