Zebra Technologies (ZBRA) Accumulated Expenses (2009 - 2026)
Zebra Technologies' Accumulated Expenses was $506 million in Q2 2026, up 7.9% from $469 million a year earlier and up 10.2% from the prior quarter.
Zebra Technologies (ZBRA) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Zebra Technologies came in at $558 million, up 10.9% from FY2024.
- Accumulated Expenses shows a five-year compound annual growth rate of 0.0% (FY2020 to FY2025).
- In earlier years, Accumulated Expenses was $503 million in FY2024 (-0.2%), $504 million in FY2023 (-32.3%), $744 million in FY2022 (+16.4%) and $639 million in FY2021 (+14.3%).
- Quarterly Accumulated Expenses has moved between $411 million (Q1 2025) and $744 million (Q4 2022) over five years.
- Compared with a year earlier, Accumulated Expenses has increased for five straight quarters, with growth averaging 3.6% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was Q1 2023 (growth of 46.2%); the worst was Q1 2024 (a decline of 34.9%).
- Per Business Quant data, ZBRA's Accumulated Expenses in the three quarters before Q2 2026 was $459 million (Q1 2026), $558 million (Q4 2025) and $497 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Apple | 4,825.63 Bn | 4,573.12 Bn | 54.77 Bn |
| 2 | Cisco Systems | 429.17 Bn | 365.10 Bn | 11.06 Bn |
| 3 | Dell Technologies | 346.69 Bn | 302.44 Bn | 9.83 Bn |
| 4 | Sandisk | 261.00 Bn | 249.52 Bn | 7.58 Bn |
| 5 | Arista Networks | 257.88 Bn | 211.33 Bn | 1.91 Bn |
| 6 | Seagate Technology Holdings | 214.45 Bn | 209.44 Bn | 1.90 Bn |
| 7 | Western Digital | 166.98 Bn | 155.11 Bn | 2.03 Bn |
| 8 | Sony | 144.46 Bn | 94.85 Bn | 6.53 Bn |
| 9 | Lumentum Holdings | 92.66 Bn | 84.47 Bn | 477.30 Mn |
| 10 | Zebra Technologies | 17.76 Bn | 16.31 Bn | 825.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 506.00 Mn |
| Apr 4, 2026 | 459.00 Mn |
| Dec 31, 2025 | 558.00 Mn |
| Sep 27, 2025 | 497.00 Mn |
| Jun 28, 2025 | 469.00 Mn |
| Mar 29, 2025 | 411.00 Mn |
| Dec 31, 2024 | 503.00 Mn |
| Sep 28, 2024 | 490.00 Mn |
| Jun 29, 2024 | 426.00 Mn |
| Mar 30, 2024 | 437.00 Mn |
| Dec 31, 2023 | 504.00 Mn |
| Sep 30, 2023 | 528.00 Mn |
| Jul 1, 2023 | 583.00 Mn |
| Apr 1, 2023 | 671.00 Mn |
| Dec 31, 2022 | 744.00 Mn |
| Oct 1, 2022 | 675.00 Mn |
| Jul 2, 2022 | 714.00 Mn |
| Apr 2, 2022 | 459.00 Mn |
| Dec 31, 2021 | 639.00 Mn |
| Oct 2, 2021 | 550.00 Mn |
Zebra Technologies Accumulated Expenses 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=accumulated-expenses&ticker=ZBRA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=ZBRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();