Standard Biotools (LAB) Non-Current Assets (2009 - 2026)
Standard Biotools' Non-Current Assets came in at $138.03 million for Q3 2026, up 105.4% from $67.2 million a year earlier and up 25.1% from the prior quarter.
Standard Biotools (LAB) Non-Current Assets (2009 - 2026) Analysis & Trends
At the end of FY2025, Standard Biotools' Non-Current Assets was $113.49 million, down 52.0% from FY2024.
- Non-Current Assets carries a five-year compound annual growth rate of -11.3% (FY2020 to FY2025).
- Going back by year, Non-Current Assets was $236.46 million in FY2024 (+43.4%), $164.85 million in FY2023 (-9.2%), $181.5 million in FY2022 (-10.7%) and $203.15 million in FY2021 (-1.9%).
- The Q3 2026 figure represents the highest quarterly Non-Current Assets since Q1 2025.
- Year-over-year, Non-Current Assets increased in four of the last eight quarters, with growth averaging 2.2%.
- The fastest year-over-year change in Non-Current Assets over five years came in Q2 2026 (growth of 116.7%), and the weakest in Q2 2025 (a decline of 77.7%).
- Business Quant data shows LAB's Non-Current Assets at $110.35 million (Q2 2026), $117.66 million (Q1 2026) and $113.49 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | 88.62 Bn |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | 84.75 Bn |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | 78.49 Bn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | 10.92 Bn |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | 68.92 Bn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | 33.06 Bn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | 37.30 Bn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | 6.90 Bn |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | 27.53 Bn |
| 10 | Standard Biotools | 280.22 Mn | -1.30 Bn | 10.83 Mn | 138.03 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 138.03 Mn |
| Jun 30, 2026 | 110.35 Mn |
| Mar 31, 2026 | 117.66 Mn |
| Dec 31, 2025 | 113.49 Mn |
| Sep 30, 2025 | 67.20 Mn |
| Jun 30, 2025 | 50.93 Mn |
| Mar 31, 2025 | 235.58 Mn |
| Dec 31, 2024 | 236.46 Mn |
| Sep 30, 2024 | 227.93 Mn |
| Jun 30, 2024 | 228.70 Mn |
| Mar 31, 2024 | 230.10 Mn |
| Dec 31, 2023 | 164.85 Mn |
| Sep 30, 2023 | 168.54 Mn |
| Jun 30, 2023 | 172.76 Mn |
| Mar 31, 2023 | 176.73 Mn |
| Dec 31, 2022 | 181.50 Mn |
| Sep 30, 2022 | 185.90 Mn |
| Jun 30, 2022 | 190.25 Mn |
| Mar 31, 2022 | 198.74 Mn |
| Dec 31, 2021 | 203.15 Mn |
Standard Biotools Non-Current Assets 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-assets&ticker=LAB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=LAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();