Arista Networks (ANET) Change in Accured Expenses (2013 - 2024)
Arista Networks (ANET) recorded Change in Accured Expenses of $2.5 million in Q3 2024, down 94.7% from $47.06 million a year earlier and down 95.0% from the prior quarter.
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Analysis
Arista Networks (ANET) Change in Accured Expenses (2013 - 2024) Analysis & Trends
On a TTM basis, Arista Networks' Change in Accured Expenses came in at -$37.5 million as of Sep 30, 2024; for FY2022, it came in at $66.59 million, down 20.3% from FY2021.
- Annual Change in Accured Expenses has a five-year compound annual growth rate of 8.9% (FY2017 to FY2022).
- Across earlier years, Change in Accured Expenses came in at $83.52 million in FY2021, $2.73 million in FY2020 (-83.3%), $16.37 million in FY2019 and -$14.79 million in FY2018.
- Quarterly Change in Accured Expenses has ranged from -$136.55 million in Q1 2024 to $58.66 million in Q1 2023 over the past five years.
- On a year-over-year basis, Change in Accured Expenses rose in two of the last five quarters, with growth averaging 53.0%.
- Peak year-over-year performance for Change in Accured Expenses in the last five years was growth of 320.7% in Q2 2024, against a decline of 94.7% in Q3 2024 at the low end.
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 | Hewlett Packard Enterprise | 92.09 Bn | 69.97 Bn | 4.93 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | 2.50 Mn |
| Jun 30, 2024 | 49.49 Mn |
| Mar 31, 2024 | -136.55 Mn |
| Sep 30, 2023 | 47.06 Mn |
| Jun 30, 2023 | 11.76 Mn |
| Mar 31, 2023 | 58.66 Mn |
| Dec 31, 2022 | 51.90 Mn |
| Sep 30, 2022 | 30.90 Mn |
| Jun 30, 2022 | 13.46 Mn |
| Mar 31, 2022 | -29.67 Mn |
| Dec 31, 2021 | 52.21 Mn |
| Sep 30, 2021 | 11.29 Mn |
| Jun 30, 2021 | 40.78 Mn |
| Mar 31, 2021 | -20.76 Mn |
| Dec 31, 2020 | 32.54 Mn |
| Sep 30, 2020 | 10.07 Mn |
| Jun 30, 2020 | -432,000.00 |
| Mar 31, 2020 | -39.45 Mn |
| Dec 31, 2019 | 10.64 Mn |
| Sep 30, 2019 | 15.21 Mn |
API Access
Arista Networks 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=ANET&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "ANET", "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=ANET&period=max&api_key=YOUR_API_KEY");
const data = await res.json();