Agilent Technologies (A) Pension (2009 - 2026)
Agilent Technologies (A) recorded Pension of $128 million in fiscal Q3 2026 (quarter ended Jul 31, 2026), up 7.6% from $119 million a year earlier and up 0.8% from the prior quarter.
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Analysis
Agilent Technologies (A) Pension (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 31, 2025), Agilent Technologies reported Pension of $126 million, down 3.1% from FY2024.
- Annual Pension has a five-year compound annual growth rate of -20.2% (FY2020 to FY2025).
- Across earlier fiscal years, Pension came in at $130 million in FY2024 (+26.2%), $103 million in FY2023 (+6.2%), $97 million in FY2022 (-55.9%) and $220 million in FY2021 (-43.4%).
- Quarterly Pension has ranged from $92 million in fiscal Q3 2023 to $220 million in fiscal Q4 2021 over the past five years.
- On a year-over-year basis, Pension has increased for three consecutive quarters, with growth averaging 13.6% over the last eight quarters.
- Peak year-over-year performance for Pension in the last five years was growth of 27.3% in fiscal Q2 2025, against a decline of 55.9% in fiscal Q4 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $127 million (Q2 2026), $130 million (Q1 2026) and $126 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 243.20 Bn | 222.35 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 172.35 Bn | 143.43 Bn | 7.27 Bn |
| 3 | Danaher | 154.53 Bn | 138.35 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 150.04 Bn | 129.59 Bn | 1.96 Bn |
| 5 | Medtronic | 113.25 Bn | 79.11 Bn | 6.34 Bn |
| 6 | Stryker | 106.37 Bn | 92.49 Bn | 4.50 Bn |
| 7 | Boston Scientific | 61.94 Bn | 56.95 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 50.05 Bn | 47.20 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn |
| 10 | Agilent Technologies | 48.07 Bn | 40.96 Bn | 1.04 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 128.00 Mn |
| Apr 30, 2026 | 127.00 Mn |
| Jan 31, 2026 | 130.00 Mn |
| Oct 31, 2025 | 126.00 Mn |
| Jul 31, 2025 | 119.00 Mn |
| Apr 30, 2025 | 126.00 Mn |
| Jan 31, 2025 | 120.00 Mn |
| Oct 31, 2024 | 130.00 Mn |
| Jul 31, 2024 | 96.00 Mn |
| Apr 30, 2024 | 99.00 Mn |
| Jan 31, 2024 | 102.00 Mn |
| Oct 31, 2023 | 103.00 Mn |
| Jul 31, 2023 | 92.00 Mn |
| Apr 30, 2023 | 97.00 Mn |
| Jan 31, 2023 | 99.00 Mn |
| Oct 31, 2022 | 97.00 Mn |
| Jul 31, 2022 | 176.00 Mn |
| Apr 30, 2022 | 187.00 Mn |
| Jan 31, 2022 | 206.00 Mn |
| Oct 31, 2021 | 220.00 Mn |
API Access
Agilent Technologies Pension 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=pension&ticker=A&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "pension", "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=pension&ticker=A&period=max&api_key=YOUR_API_KEY");
const data = await res.json();