Zebra Technologies (ZBRA) Exchange Rate Effect (2009 - 2026)
Zebra Technologies (ZBRA) reported Exchange Rate Effect of $1 million for Q2 2026, unchanged from $1 million a year earlier.
Analysis
Zebra Technologies (ZBRA) Exchange Rate Effect (2009 - 2026) Analysis & Trends
Dating back to Q3 2009, Zebra Technologies' Exchange Rate Effect record includes 57 quarters.
- By year, Exchange Rate Effect came in at -$3 million in FY2024.
- Five-year quarterly Exchange Rate Effect spans a low of -$4 million in Q2 2022 and a high of $4 million in Q3 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,943.67 Bn | 4,691.16 Bn | 54.77 Bn | - |
| 2 | Cisco Systems | 421.20 Bn | 357.13 Bn | 11.06 Bn | 28.00 Mn |
| 3 | Dell Technologies | 347.85 Bn | 303.60 Bn | 9.83 Bn | -22.00 Mn |
| 4 | Arista Networks | 258.42 Bn | 211.87 Bn | 1.91 Bn | -1.00 Mn |
| 5 | Sandisk | 250.08 Bn | 238.60 Bn | 7.58 Bn | - |
| 6 | Seagate Technology Holdings | 208.99 Bn | 203.98 Bn | 1.90 Bn | - |
| 7 | Western Digital | 163.62 Bn | 151.74 Bn | 2.03 Bn | - |
| 8 | Sony | 143.48 Bn | 93.86 Bn | 6.53 Bn | 650.39 Mn |
| 9 | Hewlett Packard Enterprise | 83.23 Bn | 61.11 Bn | 4.93 Bn | -30.00 Mn |
| 10 | Zebra Technologies | 17.59 Bn | 16.14 Bn | 825.00 Mn | 1.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 1.00 Mn |
| Dec 31, 2025 | 2.00 Mn |
| Sep 27, 2025 | -3.00 Mn |
| Jun 28, 2025 | 1.00 Mn |
| Mar 29, 2025 | 1.00 Mn |
| Dec 31, 2024 | -3.00 Mn |
| Jun 29, 2024 | 1.00 Mn |
| Mar 30, 2024 | -1.00 Mn |
| Dec 31, 2023 | 2.00 Mn |
| Sep 30, 2023 | -1.00 Mn |
| Apr 1, 2023 | -1.00 Mn |
| Dec 31, 2022 | 2.00 Mn |
| Oct 1, 2022 | 4.00 Mn |
| Jul 2, 2022 | -4.00 Mn |
| Apr 2, 2022 | -2.00 Mn |
| Oct 2, 2021 | 4.00 Mn |
| Jul 3, 2021 | -2.00 Mn |
| Apr 3, 2021 | -2.00 Mn |
| Dec 31, 2020 | -1.00 Mn |
| Mar 28, 2020 | -1.00 Mn |
API Access
Zebra 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=ZBRA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "ZBRA", "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=ZBRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();