Standard Biotools (LAB) Total Non-Current Liabilities (2010 - 2026)
Standard Biotools' Total Non-Current Liabilities was $86.13 million in Q2 2026, down 34.3% from $131.18 million a year earlier but up 17.1% from the prior quarter.
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Analysis
Standard Biotools (LAB) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Standard Biotools came in at $142.25 million, up 1.9% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of -5.1% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $139.56 million in FY2024 (-70.3%), $470.05 million in FY2023 (-0.2%), $470.82 million in FY2022 (+161.9%) and $179.74 million in FY2021 (-2.5%).
- Quarterly Total Non-Current Liabilities has moved between $73.55 million (Q1 2026) and $477.28 million (Q2 2022) over five years.
- Compared with a year earlier, Total Non-Current Liabilities was higher in 1 of the last eight quarters, with an average decline of 37.6%.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q2 2022 (growth of 165.8%); the worst was Q4 2024 (a decline of 70.3%).
- Per Business Quant data, LAB's Total Non-Current Liabilities in the three quarters before Q2 2026 was $73.55 million (Q1 2026), $142.25 million (Q4 2025) and $138.78 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 55.95 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | - |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 33.25 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | - |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 40.46 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 21.28 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 17.56 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 23.92 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 2.57 Bn |
| 10 | Standard Biotools | 286.25 Mn | -1.03 Bn | 10.54 Mn | 86.13 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 86.13 Mn |
| Mar 31, 2026 | 73.55 Mn |
| Dec 31, 2025 | 142.25 Mn |
| Sep 30, 2025 | 138.78 Mn |
| Jun 30, 2025 | 131.18 Mn |
| Mar 31, 2025 | 121.51 Mn |
| Dec 31, 2024 | 139.56 Mn |
| Sep 30, 2024 | 190.70 Mn |
| Jun 30, 2024 | 196.96 Mn |
| Mar 31, 2024 | 197.53 Mn |
| Dec 31, 2023 | 470.05 Mn |
| Sep 30, 2023 | 469.92 Mn |
| Jun 30, 2023 | 468.37 Mn |
| Mar 31, 2023 | 468.26 Mn |
| Dec 31, 2022 | 470.82 Mn |
| Sep 30, 2022 | 476.49 Mn |
| Jun 30, 2022 | 477.28 Mn |
| Mar 31, 2022 | 248.33 Mn |
| Dec 31, 2021 | 179.74 Mn |
| Sep 30, 2021 | 181.90 Mn |
API Access
Standard Biotools 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=LAB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "LAB", "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=LAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();