Hewlett Packard Enterprise (HPE) Exchange Rate Effect (2022 - 2026)
Hewlett Packard Enterprise's (HPE) quarterly Exchange Rate Effect came in at -$30.0 million in Q3 2026, down 3.45% year-over-year from -$31.1 million in Q3 2025, and up 28.57% quarter-over-quarter from -$42.0 million in Q2 2026.
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Analysis
Hewlett Packard Enterprise (HPE) Exchange Rate Effect (2022 - 2026) Analysis & Trends
Hewlett Packard Enterprise has disclosed Exchange Rate Effect across 5 years of filings, most recently posting -$30.0 million for Q3 2026.
- In Q3 2026, Exchange Rate Effect fell 3.45% year-over-year to -$30.0 million; the TTM figure through Jul 2026 stood at -$69.0 million (down 2200.0% YoY), while the FY2025 annual figure was -$21.0 million, up 55.32% from the prior year.
- Exchange Rate Effect came in at -$30.0 million for Q3 2026 at Hewlett Packard Enterprise, up from -$42.0 million in the prior quarter.
- In the past five years, Exchange Rate Effect ranged from a high of $138.0 million in Q1 2023 to a low of -$279.0 million in Q4 2022.
- Average Exchange Rate Effect over 5 years is -$21.9 million, with a median of -$20.5 million recorded in 2024.
- Year-over-year, Exchange Rate Effect plunged 4600.0% in 2024 and soared 280.0% in 2025.
- Over 5 years, Exchange Rate Effect stood at -$279.0 million in 2022, then surged by 63.44% to -$102.0 million in 2023, then surged by 88.24% to -$12.0 million in 2024, then plunged by 150.0% to -$30.0 million in 2025, then changed by 0.0% to -$30.0 million in 2026.
- Per Business Quant data, the three most recent Exchange Rate Effect figures were -$30.0 million in Q3 2026, -$42.0 million in Q2 2026, and $33.0 million in Q1 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,923.51 Bn | 4,861.11 Bn | 54.77 Bn | - |
| 2 | Cisco Systems | 419.97 Bn | 404.45 Bn | 11.06 Bn | 28.00 Mn |
| 3 | Dell Technologies | 351.63 Bn | 340.06 Bn | 9.83 Bn | -22.00 Mn |
| 4 | Sandisk | 265.22 Bn | 260.46 Bn | 7.58 Bn | - |
| 5 | Arista Networks | 256.62 Bn | 243.27 Bn | 1.91 Bn | -1.00 Mn |
| 6 | Seagate Technology Holdings | 209.52 Bn | 207.82 Bn | 1.90 Bn | - |
| 7 | Western Digital | 171.00 Bn | 169.42 Bn | 2.03 Bn | - |
| 8 | Sony | 142.68 Bn | 123.26 Bn | 6.53 Bn | 650.39 Mn |
| 9 | Lumentum Holdings | 83.02 Bn | 80.28 Bn | 477.30 Mn | - |
| 10 | Hewlett Packard Enterprise | 82.82 Bn | 76.61 Bn | 4.93 Bn | -30.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | -30.00 Mn |
| Apr 30, 2026 | -42.00 Mn |
| Jan 31, 2026 | 33.00 Mn |
| Oct 31, 2025 | -30.00 Mn |
| Jul 31, 2025 | -29.00 Mn |
| Apr 30, 2025 | 81.00 Mn |
| Jan 31, 2025 | -43.00 Mn |
| Oct 31, 2024 | -12.00 Mn |
| Jul 31, 2024 | -4.00 Mn |
| Apr 30, 2024 | -45.00 Mn |
| Jan 31, 2024 | 14.00 Mn |
| Oct 31, 2023 | -102.00 Mn |
| Jul 31, 2023 | -1.00 Mn |
| Apr 30, 2023 | 1.00 Mn |
| Jan 31, 2023 | 138.00 Mn |
| Oct 31, 2022 | -279.00 Mn |
API Access
Hewlett Packard Enterprise 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=HPE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "HPE", "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=HPE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();