Zebra Technologies (ZBRA) Change in Accured Expenses (2009 - 2026)
Zebra Technologies (ZBRA) posted Change in Accured Expenses of $32 million for Q2 2026, up 255.6% from $9 million a year earlier.
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Analysis
Zebra Technologies (ZBRA) Change in Accured Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jul 4, 2026, Change in Accured Expenses at Zebra Technologies was $37 million, up 428.6% year-over-year; for FY2025, it was -$29 million.
- In prior years, Zebra Technologies' Change in Accured Expenses was $131 million in FY2024, -$97 million in FY2023, -$51 million in FY2022 and $110 million in FY2021 (+587.5%).
- Quarterly Change in Accured Expenses has run from a low of -$143 million in Q1 2022 to a high of $68 million in Q4 2021 over five years.
- On a year-over-year basis, Change in Accured Expenses increased in three of the last five quarters, with growth averaging 36.2%.
- The strongest year-over-year quarter for Change in Accured Expenses in the past five years was Q2 2026, with growth of 255.6%; the weakest was Q2 2025, with a decline of 82.4%.
- According to Business Quant data, Change in Accured Expenses for the three prior quarters was -$67 million (Q1 2026), $20 million (Q4 2025) and $52 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,874.86 Bn | 4,622.35 Bn | 54.77 Bn | - |
| 2 | Cisco Systems | 442.74 Bn | 378.67 Bn | 11.06 Bn | 789.00 Mn |
| 3 | Dell Technologies | 360.03 Bn | 315.78 Bn | 9.83 Bn | - |
| 4 | Arista Networks | 261.51 Bn | 214.96 Bn | 1.91 Bn | - |
| 5 | Sandisk | 251.12 Bn | 239.64 Bn | 7.58 Bn | 304.00 Mn |
| 6 | Seagate Technology Holdings | 192.54 Bn | 187.54 Bn | 1.90 Bn | 182.00 Mn |
| 7 | Western Digital | 149.92 Bn | 138.05 Bn | 2.03 Bn | 50.00 Mn |
| 8 | Sony | 146.49 Bn | 96.88 Bn | 6.53 Bn | - |
| 9 | Lumentum Holdings | 96.17 Bn | 87.98 Bn | 477.30 Mn | 36.60 Mn |
| 10 | Zebra Technologies | 17.78 Bn | 16.33 Bn | 825.00 Mn | 32.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 32.00 Mn |
| Apr 4, 2026 | -67.00 Mn |
| Dec 31, 2025 | 20.00 Mn |
| Sep 27, 2025 | 52.00 Mn |
| Jun 28, 2025 | 9.00 Mn |
| Mar 29, 2025 | -110.00 Mn |
| Dec 31, 2024 | 63.00 Mn |
| Sep 28, 2024 | 45.00 Mn |
| Jun 29, 2024 | 51.00 Mn |
| Mar 30, 2024 | -28.00 Mn |
| Dec 31, 2023 | -18.00 Mn |
| Sep 30, 2023 | 28.00 Mn |
| Jul 1, 2023 | -25.00 Mn |
| Apr 1, 2023 | -82.00 Mn |
| Dec 31, 2022 | 50.00 Mn |
| Oct 1, 2022 | -24.00 Mn |
| Jul 2, 2022 | 66.00 Mn |
| Apr 2, 2022 | -143.00 Mn |
| Dec 31, 2021 | 68.00 Mn |
| Oct 2, 2021 | 40.00 Mn |
API Access
Zebra Technologies Change in Accured 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=change-in-accured-expenses&ticker=ZBRA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=ZBRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();