Zebra Technologies (ZBRA) Restructuring Costs (2009 - 2026)
Zebra Technologies (ZBRA) recorded Restructuring Costs of $8 million in Q2 2026, up 100.0% from $4 million a year earlier and unchanged from the prior quarter.
Zebra Technologies (ZBRA) Restructuring Costs (2009 - 2026) Analysis & Trends
On a TTM basis, Zebra Technologies' Restructuring Costs came in at $38 million as of Jul 4, 2026, up 245.5% year-over-year; for FY2025, it was $29 million, up 70.6% from FY2024.
- Annual Restructuring Costs has a five-year compound annual growth rate of 4.7% (FY2020 to FY2025).
- Across earlier years, Restructuring Costs came in at $17 million in FY2024 (-82.7%), $98 million in FY2023 (+366.7%), $21 million in FY2022 (-16.0%) and $25 million in FY2021 (+8.7%).
- Quarterly Restructuring Costs has ranged from $2 million in Q3 2022 to $58 million in Q3 2023 over the past five years.
- On a year-over-year basis, Restructuring Costs rose in four of the last six quarters, with growth averaging 47.8%.
- Peak year-over-year performance for Restructuring Costs in the last five years was growth of 700.0% in Q4 2023, against a decline of 93.1% in Q3 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $8 million (Q1 2026), $12 million (Q4 2025) and $10 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 3 | Dell Technologies | 347.85 Bn | 303.60 Bn | 9.83 Bn |
| 4 | Arista Networks | 258.42 Bn | 211.87 Bn | 1.91 Bn |
| 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 |
| 9 | Hewlett Packard Enterprise | 83.23 Bn | 61.11 Bn | 4.93 Bn |
| 10 | Zebra Technologies | 17.59 Bn | 16.14 Bn | 825.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 8.00 Mn |
| Apr 4, 2026 | 8.00 Mn |
| Dec 31, 2025 | 12.00 Mn |
| Sep 27, 2025 | 10.00 Mn |
| Jun 28, 2025 | 4.00 Mn |
| Mar 29, 2025 | 3.00 Mn |
| Sep 28, 2024 | 4.00 Mn |
| Jun 29, 2024 | 3.00 Mn |
| Mar 30, 2024 | 10.00 Mn |
| Dec 31, 2023 | 16.00 Mn |
| Sep 30, 2023 | 58.00 Mn |
| Jul 1, 2023 | 14.00 Mn |
| Apr 1, 2023 | 10.00 Mn |
| Dec 31, 2022 | 2.00 Mn |
| Oct 1, 2022 | 2.00 Mn |
| Jul 2, 2022 | 14.00 Mn |
| Apr 2, 2022 | 4.00 Mn |
| Dec 31, 2021 | 14.00 Mn |
| Oct 2, 2021 | 6.00 Mn |
| Jul 3, 2021 | 4.00 Mn |
Zebra Technologies Restructuring Costs 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=restructuring-costs&ticker=ZBRA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=ZBRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();