Standard Biotools (LAB) Cost of Revenue (2010 - 2026)
Standard Biotools' Cost of Revenue was $9.57 million in Q2 2026, down 14.1% from $11.13 million a year earlier and down 2.7% from the prior quarter.
Standard Biotools (LAB) Cost of Revenue (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Standard Biotools' Cost of Revenue was $41.89 million through Jun 30, 2026, down 4.1% year-over-year; for FY2025, it came in at $42.79 million, down 7.2% from FY2024.
- Cost of Revenue has now declined for four consecutive years, with a five-year compound annual growth rate of -4.8% (FY2020 to FY2025).
- In earlier years, Cost of Revenue was $46.13 million in FY2024 (-17.5%), $55.89 million in FY2023 (-8.2%), $60.9 million in FY2022 (-0.5%) and $61.21 million in FY2021 (+11.7%).
- The Q2 2026 figure marks the lowest quarterly Cost of Revenue since Q1 2025.
- Compared with a year earlier, Cost of Revenue was higher in two of the last eight quarters, with an average decline of 14.7%.
- The best year-over-year quarter for Cost of Revenue over five years was Q1 2024 (growth of 66.3%); the worst was Q1 2025 (a decline of 57.0%).
- Per Business Quant data, LAB's Cost of Revenue in the three quarters before Q2 2026 was $9.84 million (Q1 2026), $12.41 million (Q4 2025) and $10.07 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 7.11 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 5.33 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 2.65 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 931.90 Mn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 3.42 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 2.09 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 1.59 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 392.40 Mn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 2.67 Bn |
| 10 | Standard Biotools | 290.17 Mn | -1.02 Bn | 10.54 Mn | 9.57 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.57 Mn |
| Mar 31, 2026 | 9.84 Mn |
| Dec 31, 2025 | 12.41 Mn |
| Sep 30, 2025 | 10.07 Mn |
| Jun 30, 2025 | 11.13 Mn |
| Mar 31, 2025 | 9.17 Mn |
| Dec 31, 2024 | 13.42 Mn |
| Sep 30, 2024 | 9.96 Mn |
| Jun 30, 2024 | 12.12 Mn |
| Mar 31, 2024 | 21.35 Mn |
| Dec 31, 2023 | 14.83 Mn |
| Sep 30, 2023 | 14.21 Mn |
| Jun 30, 2023 | 14.06 Mn |
| Mar 31, 2023 | 12.84 Mn |
| Dec 31, 2022 | 15.85 Mn |
| Sep 30, 2022 | 16.43 Mn |
| Jun 30, 2022 | 14.35 Mn |
| Mar 31, 2022 | 14.27 Mn |
| Dec 31, 2021 | 18.02 Mn |
| Sep 30, 2021 | 14.84 Mn |
Standard Biotools Cost of Revenue 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=cost-of-revenue&ticker=LAB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=LAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();