Zebra Technologies (ZBRA) Amortization - Intangibles (2009 - 2026)
Zebra Technologies (ZBRA) reported Amortization - Intangibles of $37 million for Q2 2026, up 48.0% from $25 million a year earlier and unchanged from the prior quarter.
Zebra Technologies (ZBRA) Amortization - Intangibles (2009 - 2026) Analysis & Trends
Over the twelve months ended Jul 4, 2026, Zebra Technologies' Amortization - Intangibles came in at $139 million, up 36.3% year-over-year; for FY2025, it was $114 million, up 9.6% from FY2024.
- Amortization - Intangibles has a five-year compound annual growth rate of 7.9% (FY2020 to FY2025).
- By year, Amortization - Intangibles came in at $104 million in FY2024 (unchanged), $104 million in FY2023 (-23.5%), $136 million in FY2022 (+18.3%) and $115 million in FY2021 (+47.4%).
- Five-year quarterly Amortization - Intangibles spans a low of $24 million in Q4 2024 and a high of $40 million in Q4 2025.
- Year over year, Amortization - Intangibles has now increased in each of the last three quarters, with growth averaging 18.9% over the last eight quarters.
- The high point for year-over-year Amortization - Intangibles in five years was Q4 2025 (growth of 66.7%); the low point was Q3 2023 (a decline of 33.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $37 million (Q1 2026), $40 million (Q4 2025) and $25 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Apple | 4,865.08 Bn | 4,612.57 Bn | 54.77 Bn |
| 2 | Cisco Systems | 424.71 Bn | 360.64 Bn | 11.06 Bn |
| 3 | Dell Technologies | 344.52 Bn | 300.28 Bn | 9.83 Bn |
| 4 | Arista Networks | 256.79 Bn | 210.25 Bn | 1.91 Bn |
| 5 | Sandisk | 254.02 Bn | 242.55 Bn | 7.58 Bn |
| 6 | Seagate Technology Holdings | 209.18 Bn | 204.17 Bn | 1.90 Bn |
| 7 | Western Digital | 164.06 Bn | 152.19 Bn | 2.03 Bn |
| 8 | Sony | 144.83 Bn | 95.22 Bn | 6.53 Bn |
| 9 | Lumentum Holdings | 86.05 Bn | 77.87 Bn | 477.30 Mn |
| 10 | Zebra Technologies | 17.66 Bn | 16.21 Bn | 825.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 37.00 Mn |
| Apr 4, 2026 | 37.00 Mn |
| Dec 31, 2025 | 40.00 Mn |
| Sep 27, 2025 | 25.00 Mn |
| Jun 28, 2025 | 25.00 Mn |
| Mar 29, 2025 | 24.00 Mn |
| Dec 31, 2024 | 24.00 Mn |
| Sep 28, 2024 | 29.00 Mn |
| Jun 29, 2024 | 25.00 Mn |
| Mar 30, 2024 | 26.00 Mn |
| Dec 31, 2023 | 26.00 Mn |
| Sep 30, 2023 | 26.00 Mn |
| Jul 1, 2023 | 26.00 Mn |
| Apr 1, 2023 | 26.00 Mn |
| Dec 31, 2022 | 29.00 Mn |
| Oct 1, 2022 | 39.00 Mn |
| Jul 2, 2022 | 35.00 Mn |
| Apr 2, 2022 | 33.00 Mn |
| Dec 31, 2021 | 34.00 Mn |
| Oct 2, 2021 | 29.00 Mn |
Zebra Technologies Amortization - Intangibles 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=amortization-intangibles&ticker=ZBRA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "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=amortization-intangibles&ticker=ZBRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();