Arlo Technologies (ARLO) Change in Accured Expenses (2017 - 2026)
Arlo Technologies' Change in Accured Expenses was -$4.84 million in Q2 2026, compared with $4.92 million a year earlier.
Powered by 
Analysis
Arlo Technologies (ARLO) Change in Accured Expenses (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, Arlo Technologies' Change in Accured Expenses was -$10.54 million through Jun 28, 2026; for FY2025, it came in at -$2.87 million.
- In earlier years, Change in Accured Expenses was -$6.73 million in FY2024, -$7.96 million in FY2023, $149,000 in FY2022 and -$24.16 million in FY2021.
- Quarterly Change in Accured Expenses has moved between -$14.79 million (Q2 2022) and $13.48 million (Q3 2022) over five years.
- Per Business Quant data, ARLO's Change in Accured Expenses in the three quarters before Q2 2026 was -$1.51 million (Q1 2026), -$8.17 million (Q4 2025) and $3.97 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | 369.00 Mn |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | 72.38 Mn |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | 75.10 Mn |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | 108.85 Mn |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | 6.98 Mn |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | -2.00 Mn |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | 256.58 Mn |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | - |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | 43.09 Mn |
| 10 | Arlo Technologies | 1.37 Bn | 888.15 Mn | 75.22 Mn | -4.84 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | -4.84 Mn |
| Mar 29, 2026 | -1.51 Mn |
| Dec 31, 2025 | -8.17 Mn |
| Sep 28, 2025 | 3.97 Mn |
| Jun 29, 2025 | 4.92 Mn |
| Mar 30, 2025 | -3.59 Mn |
| Dec 31, 2024 | 2.43 Mn |
| Sep 29, 2024 | 1.81 Mn |
| Jun 30, 2024 | -2.78 Mn |
| Mar 31, 2024 | -8.19 Mn |
| Dec 31, 2023 | 1.24 Mn |
| Oct 1, 2023 | 2.04 Mn |
| Jul 2, 2023 | -3.53 Mn |
| Apr 2, 2023 | -7.72 Mn |
| Dec 31, 2022 | 2.78 Mn |
| Oct 2, 2022 | 13.48 Mn |
| Jul 3, 2022 | -14.79 Mn |
| Apr 3, 2022 | -1.32 Mn |
| Dec 31, 2021 | -515,000.00 |
| Oct 3, 2021 | 2.43 Mn |
API Access
Arlo 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=ARLO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "ARLO", "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=ARLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();