Agilent Technologies (A) Selling, General & Administrative (2010 - 2026)
Agilent Technologies (A) recorded Selling, General & Administrative of $475 million in fiscal Q3 2026 (quarter ended Jul 31, 2026), up 13.9% from $417 million a year earlier and up 2.2% from the prior quarter.
Agilent Technologies (A) Selling, General & Administrative (2010 - 2026) Analysis & Trends
On a TTM basis, Agilent Technologies' Selling, General & Administrative came in at $1.84 billion as of Jul 31, 2026, up 9.9% year-over-year; for FY2025 (ended Oct 31, 2025), it was $1.71 billion, up 9.0% from FY2024.
- Annual Selling, General & Administrative has a five-year compound annual growth rate of 2.7% (FY2020 to FY2025).
- Across earlier fiscal years, Selling, General & Administrative came in at $1.57 billion in FY2024 (-4.0%), $1.63 billion in FY2023 (-0.2%), $1.64 billion in FY2022 (+1.1%) and $1.62 billion in FY2021 (+8.2%).
- Quarterly Selling, General & Administrative has ranged from $380 million in fiscal Q2 2024 to $476 million in fiscal Q1 2026 over the past five years.
- On a year-over-year basis, Selling, General & Administrative has increased for eight consecutive quarters, with growth averaging 8.7% over the last eight quarters.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 19.5% in fiscal Q2 2025, against a decline of 8.4% in fiscal Q2 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $465 million (Q2 2026), $476 million (Q1 2026) and $428 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 243.20 Bn | 222.35 Bn | 4.88 Bn | 2.33 Bn |
| 2 | Abbott Laboratories | 172.35 Bn | 143.43 Bn | 7.27 Bn | 4.03 Bn |
| 3 | Danaher | 154.53 Bn | 138.35 Bn | 3.61 Bn | 2.07 Bn |
| 4 | Intuitive Surgical | 150.04 Bn | 129.59 Bn | 1.96 Bn | 617.90 Mn |
| 5 | Medtronic | 113.25 Bn | 79.11 Bn | 6.34 Bn | 3.20 Bn |
| 6 | Stryker | 106.37 Bn | 92.49 Bn | 4.50 Bn | 2.23 Bn |
| 7 | Boston Scientific | 61.94 Bn | 56.95 Bn | 3.85 Bn | 1.80 Bn |
| 8 | Becton Dickinson | 50.05 Bn | 47.20 Bn | 2.32 Bn | 1.26 Bn |
| 9 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 561.20 Mn |
| 10 | Agilent Technologies | 48.07 Bn | 40.96 Bn | 1.04 Bn | 475.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 475.00 Mn |
| Apr 30, 2026 | 465.00 Mn |
| Jan 31, 2026 | 476.00 Mn |
| Oct 31, 2025 | 428.00 Mn |
| Jul 31, 2025 | 417.00 Mn |
| Apr 30, 2025 | 454.00 Mn |
| Jan 31, 2025 | 410.00 Mn |
| Oct 31, 2024 | 397.00 Mn |
| Jul 31, 2024 | 395.00 Mn |
| Apr 30, 2024 | 380.00 Mn |
| Jan 31, 2024 | 396.00 Mn |
| Oct 31, 2023 | 393.00 Mn |
| Jul 31, 2023 | 407.00 Mn |
| Apr 30, 2023 | 415.00 Mn |
| Jan 31, 2023 | 419.00 Mn |
| Oct 31, 2022 | 422.00 Mn |
| Jul 31, 2022 | 412.00 Mn |
| Apr 30, 2022 | 386.00 Mn |
| Jan 31, 2022 | 417.00 Mn |
| Oct 31, 2021 | 389.00 Mn |
Agilent Technologies Selling, General & Administrative 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=selling-general-and-administrative&ticker=A&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=A&period=max&api_key=YOUR_API_KEY");
const data = await res.json();