Agilent Technologies (A) Cost of Revenue (2010 - 2026)
Agilent Technologies (A) reported Cost of Revenue of $836 million for fiscal Q3 2026 (quarter ended Jul 31, 2026), down 1.6% from $850 million a year earlier and down 1.1% from the prior quarter.
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Analysis
Agilent Technologies (A) Cost of Revenue (2010 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, Agilent Technologies' Cost of Revenue came in at $3.4 billion, up 5.7% year-over-year; for FY2025 (ended Oct 31, 2025), it was $3.31 billion, up 11.1% from FY2024.
- Cost of Revenue has a five-year compound annual growth rate of 5.7% (FY2020 to FY2025).
- By fiscal year, Cost of Revenue came in at $2.98 billion in FY2024 (-11.7%), $3.37 billion in FY2023 (+7.7%), $3.13 billion in FY2022 (+7.3%) and $2.91 billion in FY2021 (+16.4%).
- The fiscal Q3 2026 figure ranks as the lowest quarterly Cost of Revenue since fiscal Q2 2025.
- Year over year, Cost of Revenue gained in seven of the last eight quarters, with growth averaging 7.4%.
- The high point for year-over-year Cost of Revenue in five years was fiscal Q3 2023 (growth of 30.2%); the low point was fiscal Q3 2024 (a decline of 28.7%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $845 million (Q2 2026), $852 million (Q1 2026) and $871 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 243.20 Bn | 222.35 Bn | 4.88 Bn | 7.11 Bn |
| 2 | Abbott Laboratories | 172.35 Bn | 143.43 Bn | 7.27 Bn | 5.33 Bn |
| 3 | Danaher | 154.53 Bn | 138.35 Bn | 3.61 Bn | 2.65 Bn |
| 4 | Intuitive Surgical | 150.04 Bn | 129.59 Bn | 1.96 Bn | 931.90 Mn |
| 5 | Medtronic | 113.25 Bn | 79.11 Bn | 6.34 Bn | 3.42 Bn |
| 6 | Stryker | 106.37 Bn | 92.49 Bn | 4.50 Bn | 2.09 Bn |
| 7 | Boston Scientific | 61.94 Bn | 56.95 Bn | 3.85 Bn | 1.59 Bn |
| 8 | Becton Dickinson | 50.05 Bn | 47.20 Bn | 2.32 Bn | 2.67 Bn |
| 9 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 392.40 Mn |
| 10 | Agilent Technologies | 48.07 Bn | 40.96 Bn | 1.04 Bn | 836.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 836.00 Mn |
| Apr 30, 2026 | 845.00 Mn |
| Jan 31, 2026 | 852.00 Mn |
| Oct 31, 2025 | 871.00 Mn |
| Jul 31, 2025 | 850.00 Mn |
| Apr 30, 2025 | 802.00 Mn |
| Jan 31, 2025 | 782.00 Mn |
| Oct 31, 2024 | 785.00 Mn |
| Jul 31, 2024 | 723.00 Mn |
| Apr 30, 2024 | 717.00 Mn |
| Jan 31, 2024 | 750.00 Mn |
| Oct 31, 2023 | 773.00 Mn |
| Jul 31, 2023 | 1.01 Bn |
| Apr 30, 2023 | 793.00 Mn |
| Jan 31, 2023 | 788.00 Mn |
| Oct 31, 2022 | 837.00 Mn |
| Jul 31, 2022 | 779.00 Mn |
| Apr 30, 2022 | 746.00 Mn |
| Jan 31, 2022 | 764.00 Mn |
| Oct 31, 2021 | 760.00 Mn |
API Access
Agilent Technologies 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=A&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "ticker": "A", "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=A&period=max&api_key=YOUR_API_KEY");
const data = await res.json();