Arlo Technologies (ARLO) Depreciation and Depletion (2017 - 2026)
Arlo Technologies (ARLO) reported Depreciation and Depletion of $346,000 for Q2 2026, down 5.5% from $366,000 a year earlier and down 2.8% from the prior quarter.
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Analysis
Arlo Technologies (ARLO) Depreciation and Depletion (2017 - 2026) Analysis & Trends
Over the twelve months ended Jun 28, 2026, Arlo Technologies' Depreciation and Depletion came in at $1.53 million, down 36.7% year-over-year; for FY2025, it was $1.75 million, down 45.2% from FY2024.
- Depreciation and Depletion has declined for six consecutive years, with a five-year compound annual growth rate of -27.6% (FY2020 to FY2025).
- By year, Depreciation and Depletion came in at $3.2 million in FY2024 (-31.9%), $4.7 million in FY2023 (-2.1%), $4.8 million in FY2022 (-18.6%) and $5.9 million in FY2021 (-33.0%).
- The Q2 2026 figure ranks as the lowest quarterly Depreciation and Depletion in data going back to Q2 2017.
- Year over year, Depreciation and Depletion has now declined in each of the last 11 quarters, with an average decline of 35.8% over the last eight quarters.
- The high point for year-over-year Depreciation and Depletion in five years was Q3 2023 (growth of 36.4%); the low point was Q2 2025 (a decline of 54.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $356,000 (Q1 2026), $396,000 (Q4 2025) and $435,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 322.94 Bn | 308.02 Bn | 2.30 Bn | - |
| 2 | CrowdStrike Holdings | 272.46 Bn | 252.90 Bn | 1.10 Bn | - |
| 3 | Fortinet | 131.11 Bn | 117.04 Bn | 1.64 Bn | 31.50 Mn |
| 4 | Snowflake | 120.49 Bn | 107.81 Bn | 1.04 Bn | 26.40 Mn |
| 5 | Datadog | 99.24 Bn | 80.88 Bn | 881.34 Mn | - |
| 6 | Okta | 35.54 Bn | 25.63 Bn | 641.00 Mn | - |
| 7 | Axon Enterprise | 34.30 Bn | 28.82 Bn | 546.45 Mn | - |
| 8 | Zscaler | 32.41 Bn | 18.53 Bn | - | - |
| 9 | Baidu | 29.12 Bn | -44.51 Bn | 1.47 Mn | - |
| 10 | Arlo Technologies | 1.37 Bn | 888.15 Mn | 75.22 Mn | 346,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 346,000.00 |
| Mar 29, 2026 | 356,000.00 |
| Dec 31, 2025 | 396,000.00 |
| Sep 28, 2025 | 435,000.00 |
| Jun 29, 2025 | 366,000.00 |
| Mar 30, 2025 | 557,000.00 |
| Dec 31, 2024 | 800,000.00 |
| Sep 29, 2024 | 700,000.00 |
| Jun 30, 2024 | 800,000.00 |
| Mar 31, 2024 | 900,000.00 |
| Dec 31, 2023 | 900,000.00 |
| Oct 1, 2023 | 1.50 Mn |
| Jul 2, 2023 | 1.20 Mn |
| Apr 2, 2023 | 1.10 Mn |
| Dec 31, 2022 | 1.10 Mn |
| Oct 2, 2022 | 1.10 Mn |
| Jul 3, 2022 | 1.20 Mn |
| Apr 3, 2022 | 1.30 Mn |
| Dec 31, 2021 | 1.40 Mn |
| Oct 3, 2021 | 1.40 Mn |
API Access
Arlo Technologies Depreciation and Depletion 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=depreciation-and-depletion&ticker=ARLO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=ARLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();