Arlo Technologies (ARLO) Cash & Equivalents (2017 - 2026)
Arlo Technologies' Cash & Equivalents came in at $101.38 million for Q2 2026, up 42.3% from $71.24 million a year earlier but down 33.6% from the prior quarter.
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Analysis
Arlo Technologies (ARLO) Cash & Equivalents (2017 - 2026) Analysis & Trends
At the end of FY2025, Arlo Technologies' Cash & Equivalents was $146.44 million, up 78.5% from FY2024.
- Cash & Equivalents carries a five-year compound annual growth rate of -4.7% (FY2020 to FY2025).
- Going back by year, Cash & Equivalents was $82.03 million in FY2024 (+45.1%), $56.52 million in FY2023 (-32.7%), $84.02 million in FY2022 (-52.2%) and $175.75 million in FY2021 (-5.6%).
- The five-year range for quarterly Cash & Equivalents is $51.13 million (Q3 2023) to $175.75 million (Q4 2021).
- Year-over-year, Cash & Equivalents has increased for nine consecutive quarters, with growth averaging 44.8% over the last eight quarters.
- The fastest year-over-year change in Cash & Equivalents over five years came in Q1 2026 (growth of 81.7%), and the weakest in Q4 2022 (a decline of 52.2%).
- Business Quant data shows ARLO's Cash & Equivalents at $152.64 million (Q1 2026), $146.44 million (Q4 2025) and $86.01 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 322.94 Bn | 308.02 Bn | 2.30 Bn | 2.51 Bn |
| 2 | CrowdStrike Holdings | 272.46 Bn | 252.90 Bn | 1.10 Bn | 5.01 Bn |
| 3 | Fortinet | 131.11 Bn | 117.04 Bn | 1.64 Bn | 2.93 Bn |
| 4 | Snowflake | 120.49 Bn | 107.81 Bn | 1.04 Bn | 1.71 Bn |
| 5 | Datadog | 99.24 Bn | 80.88 Bn | 881.34 Mn | 434.96 Mn |
| 6 | Okta | 35.54 Bn | 25.63 Bn | 641.00 Mn | 763.00 Mn |
| 7 | Axon Enterprise | 34.30 Bn | 28.82 Bn | 546.45 Mn | 597.70 Mn |
| 8 | Zscaler | 32.41 Bn | 18.53 Bn | - | 928.35 Mn |
| 9 | Baidu | 29.12 Bn | -44.51 Bn | 1.47 Mn | 3.61 Bn |
| 10 | Arlo Technologies | 1.37 Bn | 888.15 Mn | 75.22 Mn | 101.38 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 101.38 Mn |
| Mar 29, 2026 | 152.64 Mn |
| Dec 31, 2025 | 146.44 Mn |
| Sep 28, 2025 | 86.01 Mn |
| Jun 29, 2025 | 71.24 Mn |
| Mar 30, 2025 | 84.01 Mn |
| Dec 31, 2024 | 82.03 Mn |
| Sep 29, 2024 | 77.03 Mn |
| Jun 30, 2024 | 62.93 Mn |
| Mar 31, 2024 | 62.05 Mn |
| Dec 31, 2023 | 56.52 Mn |
| Oct 1, 2023 | 51.13 Mn |
| Jul 2, 2023 | 61.95 Mn |
| Apr 2, 2023 | 66.97 Mn |
| Dec 31, 2022 | 84.02 Mn |
| Oct 2, 2022 | 80.77 Mn |
| Jul 3, 2022 | 85.54 Mn |
| Apr 3, 2022 | 100.98 Mn |
| Dec 31, 2021 | 175.75 Mn |
| Oct 3, 2021 | 166.06 Mn |
API Access
Arlo Technologies Cash & Equivalents 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=cash-and-equivalents&ticker=ARLO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=ARLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();