Agilent Technologies (A) Exchange Rate Effect (2009 - 2026)
Agilent Technologies (A) reported Exchange Rate Effect of -$7 million for fiscal Q3 2026 (quarter ended Jul 31, 2026), compared with $1 million a year earlier.
Powered by 
Analysis
Agilent Technologies (A) Exchange Rate Effect (2009 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, Agilent Technologies' Exchange Rate Effect came in at $1 million, down 87.5% year-over-year; for FY2025 (ended Oct 31, 2025), it came in at $9 million.
- Exchange Rate Effect has a five-year compound annual growth rate of 35.1% (FY2020 to FY2025).
- By fiscal year, Exchange Rate Effect came in at -$2 million in FY2024, $5 million in FY2023, -$36 million in FY2022 and $3 million in FY2021 (+50.0%).
- Five-year quarterly Exchange Rate Effect spans a low of -$19 million in fiscal Q1 2025 and a high of $28 million in fiscal Q2 2025.
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at -$7 million (Q2 2026), $16 million (Q1 2026) and -$1 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 258.21 Bn | 258.21 Bn | - | -12.00 Mn |
| 2 | Abbott Laboratories | 184.72 Bn | 184.72 Bn | - | - |
| 3 | Danaher | 163.63 Bn | 147.44 Bn | 3.61 Bn | -13.00 Mn |
| 4 | Intuitive Surgical | 150.86 Bn | 131.14 Bn | 2.08 Bn | -11.60 Mn |
| 5 | Medtronic | 123.68 Bn | 88.93 Bn | 6.34 Bn | -89.00 Mn |
| 6 | Stryker | 111.91 Bn | 111.91 Bn | - | -1.00 Mn |
| 7 | Boston Scientific | 61.64 Bn | 61.64 Bn | 3.43 Bn | - |
| 8 | Becton Dickinson | 54.28 Bn | 51.43 Bn | 2.32 Bn | 2.00 Mn |
| 9 | Edwards Lifesciences | 53.21 Bn | 37.22 Bn | 1.35 Bn | 3.80 Mn |
| 10 | Agilent Technologies | 49.54 Bn | 42.43 Bn | 1.04 Bn | -7.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | -7.00 Mn |
| Apr 30, 2026 | -7.00 Mn |
| Jan 31, 2026 | 16.00 Mn |
| Oct 31, 2025 | -1.00 Mn |
| Jul 31, 2025 | 1.00 Mn |
| Apr 30, 2025 | 28.00 Mn |
| Jan 31, 2025 | -19.00 Mn |
| Oct 31, 2024 | -2.00 Mn |
| Jul 31, 2024 | 2.00 Mn |
| Apr 30, 2024 | -9.00 Mn |
| Jan 31, 2024 | 7.00 Mn |
| Oct 31, 2023 | -14.00 Mn |
| Jul 31, 2023 | 3.00 Mn |
| Apr 30, 2023 | -6.00 Mn |
| Jan 31, 2023 | 22.00 Mn |
| Oct 31, 2022 | -14.00 Mn |
| Jul 31, 2022 | -6.00 Mn |
| Apr 30, 2022 | -12.00 Mn |
| Jan 31, 2022 | -4.00 Mn |
| Oct 31, 2021 | -3.00 Mn |
API Access
Agilent Technologies Exchange Rate Effect 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=exchange-rate-effect&ticker=A&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=A&period=max&api_key=YOUR_API_KEY");
const data = await res.json();