Arlo Technologies (ARLO) Other Non-Current Liabilities (2017 - 2026)
Arlo Technologies (ARLO) posted Other Non-Current Liabilities of $15.89 million for Q2 2026, up 515.5% from $2.58 million a year earlier and up 23.5% from the prior quarter.
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Analysis
Arlo Technologies (ARLO) Other Non-Current Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025, Arlo Technologies' Other Non-Current Liabilities came in at $3.63 million, up 52.9% from FY2024.
- Annual Other Non-Current Liabilities shows a five-year compound annual growth rate of 25.6% (FY2020 to FY2025).
- In prior years, Arlo Technologies' Other Non-Current Liabilities was $2.37 million in FY2024 (-37.4%), $3.79 million in FY2023 (+28.5%), $2.95 million in FY2022 (+20.9%) and $2.44 million in FY2021 (+110.4%).
- The Q2 2026 figure stands as the highest quarterly Other Non-Current Liabilities in data going back to Q4 2017.
- On a year-over-year basis, Other Non-Current Liabilities has increased in each of the last three quarters, with growth averaging 110.5% over the last eight quarters.
- The strongest year-over-year quarter for Other Non-Current Liabilities in the past five years was Q2 2026, with growth of 515.5%; the weakest was Q3 2025, with a decline of 40.7%.
- According to Business Quant data, Other Non-Current Liabilities for the three prior quarters was $12.86 million (Q1 2026), $3.63 million (Q4 2025) and $2.2 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 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 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 15.89 Mn |
| Mar 29, 2026 | 12.86 Mn |
| Dec 31, 2025 | 3.63 Mn |
| Sep 28, 2025 | 2.20 Mn |
| Jun 29, 2025 | 2.58 Mn |
| Mar 30, 2025 | 2.40 Mn |
| Dec 31, 2024 | 2.37 Mn |
| Sep 29, 2024 | 3.71 Mn |
| Jun 30, 2024 | 3.53 Mn |
| Mar 31, 2024 | 3.32 Mn |
| Dec 31, 2023 | 3.79 Mn |
| Oct 1, 2023 | 3.32 Mn |
| Jul 2, 2023 | 3.05 Mn |
| Apr 2, 2023 | 3.24 Mn |
| Dec 31, 2022 | 2.95 Mn |
| Oct 2, 2022 | 2.54 Mn |
| Jul 3, 2022 | 1.91 Mn |
| Apr 3, 2022 | 1.97 Mn |
| Dec 31, 2021 | 2.44 Mn |
| Oct 3, 2021 | 1.48 Mn |
API Access
Arlo Technologies Other Non-Current Liabilities 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=other-non-current-liabilities&ticker=ARLO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "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=other-non-current-liabilities&ticker=ARLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();