Arlo Technologies (ARLO) Change in Receivables (2017 - 2026)
Arlo Technologies (ARLO) recorded Change in Receivables of $11.45 million in Q2 2026, down 26.0% from $15.48 million a year earlier and down 8.3% from the prior quarter.
Arlo Technologies (ARLO) Change in Receivables (2017 - 2026) Analysis & Trends
On a TTM basis, Arlo Technologies' Change in Receivables came in at $2.1 million as of Jun 28, 2026; for FY2025, it was -$17.65 million.
- Across earlier years, Change in Receivables came in at -$8.23 million in FY2024, -$690,000 in FY2023, -$13.52 million in FY2022 and $1.74 million in FY2021.
- Quarterly Change in Receivables has ranged from -$37.05 million in Q4 2025 to $18.02 million in Q3 2021 over the past five years.
- On a year-over-year basis, Change in Receivables rose in two of the last four quarters, with growth averaging 61.7%.
- Peak year-over-year performance for Change in Receivables in the last five years was growth of 199.1% in Q2 2025, against a decline of 55.5% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $12.49 million (Q1 2026), -$37.05 million (Q4 2025) and $15.21 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 776.00 Mn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 104.65 Mn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | -29.90 Mn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 146.59 Mn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 151.65 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 83.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 305.83 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | - |
| 10 | Arlo Technologies | 1.33 Bn | 847.27 Mn | 75.22 Mn | 11.45 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 11.45 Mn |
| Mar 29, 2026 | 12.49 Mn |
| Dec 31, 2025 | -37.05 Mn |
| Sep 28, 2025 | 15.21 Mn |
| Jun 29, 2025 | 15.48 Mn |
| Mar 30, 2025 | -11.29 Mn |
| Dec 31, 2024 | -11.32 Mn |
| Sep 29, 2024 | 6.90 Mn |
| Jun 30, 2024 | 5.17 Mn |
| Mar 31, 2024 | -8.98 Mn |
| Dec 31, 2023 | -4.95 Mn |
| Oct 1, 2023 | 13.00 Mn |
| Jul 2, 2023 | 4.48 Mn |
| Apr 2, 2023 | -13.22 Mn |
| Dec 31, 2022 | -16.69 Mn |
| Oct 2, 2022 | 8.67 Mn |
| Jul 3, 2022 | -3.99 Mn |
| Apr 3, 2022 | -1.51 Mn |
| Dec 31, 2021 | 9.45 Mn |
| Oct 3, 2021 | 18.02 Mn |
Arlo Technologies Change in Receivables 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-receivables&ticker=ARLO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-receivables", "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-receivables&ticker=ARLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();