Cisco Systems (CSCO) Change in Accured Expenses (2009 - 2026)
Cisco Systems' Change in Accured Expenses came in at $789 million for fiscal Q4 2026 (quarter ended Jul 25, 2026), up 108.7% from $378 million a year earlier.
Cisco Systems (CSCO) Change in Accured Expenses (2009 - 2026) Analysis & Trends
For FY2026 (ended Jul 25, 2026), Cisco Systems' Change in Accured Expenses was $457 million.
- Change in Accured Expenses carries a five-year compound annual growth rate of -6.6% (FY2021 to FY2026).
- Going back by fiscal year, Change in Accured Expenses was -$53 million in FY2025, -$696 million in FY2024, $651 million in FY2023 and -$427 million in FY2022.
- The fiscal Q4 2026 figure represents the highest quarterly Change in Accured Expenses in data going back to fiscal Q2 2009.
- Year-over-year, Change in Accured Expenses increased in two of the last four quarters, with growth averaging 78.3%.
- The fastest year-over-year change in Change in Accured Expenses over five years came in fiscal Q2 2025 (growth of 217.9%), and the weakest in fiscal Q2 2022 (a decline of 49.0%).
- Business Quant data shows CSCO's Change in Accured Expenses at -$212 million (Q3 2026), $419 million (Q2 2026) and -$539 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,023.53 Bn | 4,771.02 Bn | 54.77 Bn | - |
| 2 | Cisco Systems | 434.59 Bn | 370.52 Bn | 11.06 Bn | 789.00 Mn |
| 3 | Dell Technologies | 303.32 Bn | 259.08 Bn | 9.83 Bn | - |
| 4 | Arista Networks | 233.08 Bn | 186.53 Bn | 1.91 Bn | - |
| 5 | Sandisk | 204.99 Bn | 193.51 Bn | 7.58 Bn | 304.00 Mn |
| 6 | Seagate Technology Holdings | 151.41 Bn | 146.40 Bn | 1.90 Bn | 182.00 Mn |
| 7 | Sony | 147.67 Bn | 84.93 Bn | 6.53 Bn | - |
| 8 | Western Digital | 122.89 Bn | 111.02 Bn | 2.03 Bn | 50.00 Mn |
| 9 | Hewlett Packard Enterprise | 78.34 Bn | 56.22 Bn | 4.93 Bn | - |
| 10 | Lumentum Holdings | 64.86 Bn | 56.67 Bn | 477.30 Mn | 36.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 25, 2026 | 789.00 Mn |
| Apr 25, 2026 | -212.00 Mn |
| Jan 24, 2026 | 419.00 Mn |
| Oct 25, 2025 | -539.00 Mn |
| Jul 26, 2025 | 378.00 Mn |
| Apr 26, 2025 | -138.00 Mn |
| Jan 25, 2025 | 461.00 Mn |
| Oct 26, 2024 | -754.00 Mn |
| Jul 27, 2024 | 396.00 Mn |
| Apr 27, 2024 | -329.00 Mn |
| Jan 27, 2024 | 145.00 Mn |
| Oct 28, 2023 | -908.00 Mn |
| Jul 29, 2023 | 626.00 Mn |
| Apr 29, 2023 | 171.00 Mn |
| Jan 28, 2023 | 238.00 Mn |
| Oct 29, 2022 | -384.00 Mn |
| Jul 30, 2022 | 303.00 Mn |
| Apr 30, 2022 | -293.00 Mn |
| Jan 29, 2022 | 148.00 Mn |
| Oct 30, 2021 | -585.00 Mn |
Cisco Systems 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=CSCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "CSCO", "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=CSCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();