Cisco Systems (CSCO) Exchange Rate Effect (2022 - 2026)
Cisco Systems' (CSCO) quarterly Exchange Rate Effect came in at $28.0 million in Q3 2026, up 240.0% year-over-year from $8.2 million in Q3 2025, and up 216.67% quarter-over-quarter from -$24.0 million in Q2 2026.
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Analysis
Cisco Systems (CSCO) Exchange Rate Effect (2022 - 2026) Analysis & Trends
Cisco Systems has disclosed Exchange Rate Effect across 5 years of filings, most recently posting $28.0 million for Q3 2026.
- In Q3 2026, Exchange Rate Effect rose 240.0% year-over-year to $28.0 million; the TTM figure through Jul 2026 stood at -$29.0 million (up 32.56% YoY), while the FY2026 annual figure was -$29.0 million, up 32.56% from the prior year.
- Exchange Rate Effect came in at $28.0 million for Q3 2026 at Cisco Systems, up from -$24.0 million in the prior quarter.
- In the past five years, Exchange Rate Effect ranged from a high of $98.0 million in Q1 2023 to a low of -$97.0 million in Q2 2022.
- Average Exchange Rate Effect over 5 years is -$20.4 million, with a median of -$18.0 million recorded in 2025.
- Year-over-year, Exchange Rate Effect soared 492.0% in 2023 and sank 350.0% in 2025.
- Over 5 years, Exchange Rate Effect stood at -$95.0 million in 2022, then soared by 52.63% to -$45.0 million in 2023, then jumped by 122.22% to $10.0 million in 2024, then plunged by 240.0% to -$14.0 million in 2025, then surged by 300.0% to $28.0 million in 2026.
- Per Business Quant data, the three most recent Exchange Rate Effect figures were $28.0 million in Q3 2026, -$24.0 million in Q2 2026, and -$19.0 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 25, 2026 | 28.00 Mn |
| Apr 25, 2026 | -24.00 Mn |
| Jan 24, 2026 | -19.00 Mn |
| Oct 25, 2025 | -14.00 Mn |
| Jul 26, 2025 | -20.00 Mn |
| Apr 26, 2025 | -15.00 Mn |
| Jan 25, 2025 | -18.00 Mn |
| Oct 26, 2024 | 10.00 Mn |
| Jul 27, 2024 | 8.00 Mn |
| Apr 27, 2024 | -7.00 Mn |
| Jan 27, 2024 | 13.00 Mn |
| Oct 28, 2023 | -45.00 Mn |
| Jul 29, 2023 | -15.00 Mn |
| Apr 29, 2023 | -93.00 Mn |
| Jan 28, 2023 | 98.00 Mn |
| Oct 29, 2022 | -95.00 Mn |
| Jul 30, 2022 | -58.00 Mn |
| Apr 30, 2022 | -97.00 Mn |
| Jan 29, 2022 | -25.00 Mn |
API Access
Cisco Systems 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=CSCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "CSCO", "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=CSCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();