Arlo Technologies (ARLO) Total Liabilities (2017 - 2026)
Arlo Technologies (ARLO) recorded Total Liabilities of $216.06 million in Q2 2026, up 7.2% from $201.47 million a year earlier and up 7.6% from the prior quarter.
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Analysis
Arlo Technologies (ARLO) Total Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025, Arlo Technologies reported Total Liabilities of $182.71 million, down 7.5% from FY2024.
- Annual Total Liabilities has a five-year compound annual growth rate of -8.2% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $197.49 million in FY2024 (+8.4%), $182.26 million in FY2023 (-1.2%), $184.51 million in FY2022 (-21.4%) and $234.84 million in FY2021 (-16.2%).
- Quarterly Total Liabilities has ranged from $170.83 million in Q1 2023 to $234.84 million in Q4 2021 over the past five years.
- On a year-over-year basis, Total Liabilities rose in seven of the last eight quarters, with growth averaging 2.9%.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 11.1% in Q1 2024, against a decline of 21.4% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $200.79 million (Q1 2026), $182.71 million (Q4 2025) and $221.64 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 316.55 Bn | 301.63 Bn | 2.30 Bn | 20.97 Bn |
| 2 | CrowdStrike Holdings | 269.03 Bn | 249.47 Bn | 1.10 Bn | 6.89 Bn |
| 3 | Fortinet | 129.08 Bn | 115.01 Bn | 1.64 Bn | 9.31 Bn |
| 4 | Snowflake | 116.42 Bn | 103.73 Bn | 1.04 Bn | 6.54 Bn |
| 5 | Datadog | 96.40 Bn | 78.04 Bn | 881.34 Mn | 3.18 Bn |
| 6 | Okta | 34.24 Bn | 24.34 Bn | 641.00 Mn | 2.17 Bn |
| 7 | Axon Enterprise | 34.08 Bn | 28.61 Bn | 546.45 Mn | 3.81 Bn |
| 8 | Zscaler | 32.34 Bn | 18.46 Bn | - | 5.27 Bn |
| 9 | Baidu | 29.50 Bn | -44.13 Bn | 1.47 Mn | 27.69 Bn |
| 10 | Arlo Technologies | 1.34 Bn | 850.50 Mn | 75.22 Mn | 216.06 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 216.06 Mn |
| Mar 29, 2026 | 200.79 Mn |
| Dec 31, 2025 | 182.71 Mn |
| Sep 28, 2025 | 221.64 Mn |
| Jun 29, 2025 | 201.47 Mn |
| Mar 30, 2025 | 193.20 Mn |
| Dec 31, 2024 | 197.49 Mn |
| Sep 29, 2024 | 215.47 Mn |
| Jun 30, 2024 | 196.54 Mn |
| Mar 31, 2024 | 189.83 Mn |
| Dec 31, 2023 | 182.26 Mn |
| Oct 1, 2023 | 207.44 Mn |
| Jul 2, 2023 | 187.27 Mn |
| Apr 2, 2023 | 170.83 Mn |
| Dec 31, 2022 | 184.51 Mn |
| Oct 2, 2022 | 233.90 Mn |
| Jul 3, 2022 | 197.28 Mn |
| Apr 3, 2022 | 199.79 Mn |
| Dec 31, 2021 | 234.84 Mn |
| Oct 3, 2021 | 221.10 Mn |
API Access
Arlo Technologies Total 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=total-liabilities&ticker=ARLO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-liabilities&ticker=ARLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();