Zebra Technologies (ZBRA) Cash & Equivalents (2009 - 2026)
Zebra Technologies' Cash & Equivalents was $157 million in Q2 2026, down 82.0% from $872 million a year earlier but up 37.7% from the prior quarter.
Zebra Technologies (ZBRA) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Cash & Equivalents at Zebra Technologies came in at $125 million, down 86.1% from FY2024.
- Cash & Equivalents shows a five-year compound annual growth rate of -5.7% (FY2020 to FY2025).
- In earlier years, Cash & Equivalents was $901 million in FY2024 (+557.7%), $137 million in FY2023 (+30.5%), $105 million in FY2022 (-68.4%) and $332 million in FY2021 (+97.6%).
- Quarterly Cash & Equivalents has moved between $61 million (Q3 2023) and $1.05 billion (Q3 2025) over five years.
- Compared with a year earlier, Cash & Equivalents has declined for three straight quarters, with growth averaging 151.8% over the last seven quarters.
- The best year-over-year quarter for Cash & Equivalents over five years was Q3 2021 (growth of 687.2%); the worst was Q1 2026 (a decline of 87.0%).
- Per Business Quant data, ZBRA's Cash & Equivalents in the three quarters before Q2 2026 was $114 million (Q1 2026), $125 million (Q4 2025) and $1.05 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,079.97 Bn | 4,827.46 Bn | 54.77 Bn | 39.54 Bn |
| 2 | Cisco Systems | 420.25 Bn | 356.18 Bn | 11.06 Bn | 7.22 Bn |
| 3 | Dell Technologies | 292.20 Bn | 247.96 Bn | 9.83 Bn | 11.57 Bn |
| 4 | Arista Networks | 217.24 Bn | 170.70 Bn | 1.91 Bn | 2.29 Bn |
| 5 | Sandisk | 180.75 Bn | 169.27 Bn | 7.58 Bn | 4.76 Bn |
| 6 | Sony | 160.45 Bn | 100.21 Bn | 6.53 Bn | 13.40 Bn |
| 7 | Seagate Technology Holdings | 142.99 Bn | 137.98 Bn | 1.90 Bn | 1.70 Bn |
| 8 | Western Digital | 128.64 Bn | 118.47 Bn | 2.53 Bn | 1.31 Bn |
| 9 | Hewlett Packard Enterprise | 75.30 Bn | 53.18 Bn | 4.93 Bn | 6.22 Bn |
| 10 | Zebra Technologies | 18.28 Bn | 16.83 Bn | 825.00 Mn | 157.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 157.00 Mn |
| Apr 4, 2026 | 114.00 Mn |
| Dec 31, 2025 | 125.00 Mn |
| Sep 27, 2025 | 1.05 Bn |
| Jun 28, 2025 | 872.00 Mn |
| Mar 29, 2025 | 879.00 Mn |
| Dec 31, 2024 | 901.00 Mn |
| Sep 28, 2024 | 676.00 Mn |
| Jun 29, 2024 | 411.00 Mn |
| Mar 30, 2024 | 127.00 Mn |
| Dec 31, 2023 | 137.00 Mn |
| Sep 30, 2023 | 61.00 Mn |
| Jul 1, 2023 | 68.00 Mn |
| Apr 1, 2023 | 85.00 Mn |
| Dec 31, 2022 | 105.00 Mn |
| Oct 1, 2022 | 81.00 Mn |
| Jul 2, 2022 | 98.00 Mn |
| Apr 2, 2022 | 141.00 Mn |
| Dec 31, 2021 | 332.00 Mn |
| Oct 2, 2021 | 307.00 Mn |
Zebra Technologies Cash & Equivalents 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=cash-and-equivalents&ticker=ZBRA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=ZBRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();