Arlo Technologies (ARLO) Receivables (2017 - 2026)
Arlo Technologies' Receivables came in at $63.61 million for Q2 2026, up 3.5% from $61.45 million a year earlier and up 21.9% from the prior quarter.
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Analysis
Arlo Technologies (ARLO) Receivables (2017 - 2026) Analysis & Trends
At the end of FY2025, Arlo Technologies' Receivables was $39.67 million, down 30.8% from FY2024.
- Receivables has declined in each of the last four years, with a five-year compound annual growth rate of -12.6% (FY2020 to FY2025).
- Going back by year, Receivables was $57.33 million in FY2024 (-12.3%), $65.36 million in FY2023 (-0.9%), $65.96 million in FY2022 (-17.1%) and $79.56 million in FY2021 (+2.5%).
- The five-year range for quarterly Receivables is $39.67 million (Q4 2025) to $82.71 million (Q3 2022).
- Year-over-year, Receivables increased in three of the last eight quarters, with an average decline of 4.5%.
- The fastest year-over-year change in Receivables over five years came in Q1 2022 (growth of 52.7%), and the weakest in Q1 2023 (a decline of 32.3%).
- Business Quant data shows ARLO's Receivables at $52.17 million (Q1 2026), $39.67 million (Q4 2025) and $76.7 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 292.69 Bn | 277.77 Bn | 2.30 Bn | 3.63 Bn |
| 2 | CrowdStrike Holdings | 266.97 Bn | 247.38 Bn | 1.10 Bn | 1.04 Bn |
| 3 | Fortinet | 134.37 Bn | 120.30 Bn | 1.64 Bn | 1.46 Bn |
| 4 | Snowflake | 116.93 Bn | 104.25 Bn | 1.04 Bn | 718.46 Mn |
| 5 | Datadog | 99.86 Bn | 81.50 Bn | 881.34 Mn | 975.55 Mn |
| 6 | Zscaler | 41.78 Bn | 27.90 Bn | - | 1.15 Bn |
| 7 | Okta | 38.35 Bn | 28.45 Bn | 641.00 Mn | 469.00 Mn |
| 8 | Axon Enterprise | 34.23 Bn | 28.76 Bn | 546.45 Mn | 1.52 Bn |
| 9 | MongoDB | 31.33 Bn | 21.80 Bn | 569.77 Mn | 483.22 Mn |
| 10 | Arlo Technologies | 1.34 Bn | 855.88 Mn | 75.22 Mn | 63.61 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 63.61 Mn |
| Mar 29, 2026 | 52.17 Mn |
| Dec 31, 2025 | 39.67 Mn |
| Sep 28, 2025 | 76.70 Mn |
| Jun 29, 2025 | 61.45 Mn |
| Mar 30, 2025 | 46.05 Mn |
| Dec 31, 2024 | 57.33 Mn |
| Sep 29, 2024 | 68.57 Mn |
| Jun 30, 2024 | 61.75 Mn |
| Mar 31, 2024 | 56.50 Mn |
| Dec 31, 2023 | 65.36 Mn |
| Oct 1, 2023 | 70.31 Mn |
| Jul 2, 2023 | 57.33 Mn |
| Apr 2, 2023 | 52.84 Mn |
| Dec 31, 2022 | 65.96 Mn |
| Oct 2, 2022 | 82.71 Mn |
| Jul 3, 2022 | 74.00 Mn |
| Apr 3, 2022 | 78.05 Mn |
| Dec 31, 2021 | 79.56 Mn |
| Oct 3, 2021 | 70.12 Mn |
API Access
Arlo Technologies 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=receivables&ticker=ARLO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=receivables&ticker=ARLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();