Arlo Technologies (ARLO) Operating Leases (2019 - 2026)
Arlo Technologies' Operating Leases was $5.72 million in Q2 2026, down 65.6% from $16.6 million a year earlier and down 8.3% from the prior quarter.
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Analysis
Arlo Technologies (ARLO) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2025, Operating Leases at Arlo Technologies came in at $6.74 million, down 63.3% from FY2024.
- Operating Leases shows a five-year compound annual growth rate of -23.1% (FY2020 to FY2025).
- In earlier years, Operating Leases was $18.36 million in FY2024 (+7.8%), $17.02 million in FY2023 (-11.7%), $19.28 million in FY2022 (-10.2%) and $21.47 million in FY2021 (-14.2%).
- The Q2 2026 figure marks the lowest quarterly Operating Leases in data going back to Q1 2019.
- Compared with a year earlier, Operating Leases has declined for four straight quarters, with an average decline of 29.9% over the last eight quarters.
- The best year-over-year quarter for Operating Leases over five years was Q1 2025 (growth of 8.1%); the worst was Q2 2026 (a decline of 65.6%).
- Per Business Quant data, ARLO's Operating Leases in the three quarters before Q2 2026 was $6.23 million (Q1 2026), $6.74 million (Q4 2025) and $7.21 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 316.55 Bn | 301.63 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 269.03 Bn | 249.47 Bn | 1.10 Bn |
| 3 | Fortinet | 129.08 Bn | 115.01 Bn | 1.64 Bn |
| 4 | Snowflake | 116.42 Bn | 103.73 Bn | 1.04 Bn |
| 5 | Datadog | 96.40 Bn | 78.04 Bn | 881.34 Mn |
| 6 | Okta | 34.24 Bn | 24.34 Bn | 641.00 Mn |
| 7 | Axon Enterprise | 34.08 Bn | 28.61 Bn | 546.45 Mn |
| 8 | Zscaler | 32.34 Bn | 18.46 Bn | - |
| 9 | Baidu | 29.50 Bn | -44.13 Bn | 1.47 Mn |
| 10 | Arlo Technologies | 1.34 Bn | 850.50 Mn | 75.22 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 5.72 Mn |
| Mar 29, 2026 | 6.23 Mn |
| Dec 31, 2025 | 6.74 Mn |
| Sep 28, 2025 | 7.21 Mn |
| Jun 29, 2025 | 16.60 Mn |
| Mar 30, 2025 | 17.44 Mn |
| Dec 31, 2024 | 18.36 Mn |
| Sep 29, 2024 | 14.48 Mn |
| Jun 30, 2024 | 15.40 Mn |
| Mar 31, 2024 | 16.13 Mn |
| Dec 31, 2023 | 17.02 Mn |
| Oct 1, 2023 | 17.97 Mn |
| Jul 2, 2023 | 17.14 Mn |
| Apr 2, 2023 | 18.17 Mn |
| Dec 31, 2022 | 19.28 Mn |
| Oct 2, 2022 | 20.24 Mn |
| Jul 3, 2022 | 21.47 Mn |
| Apr 3, 2022 | 20.31 Mn |
| Dec 31, 2021 | 21.47 Mn |
| Oct 3, 2021 | 22.61 Mn |
API Access
Arlo Technologies Operating Leases 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=operating-leases&ticker=ARLO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=ARLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();