Arlo Technologies (ARLO) Depreciation & Amortization (CF) (2017 - 2026)
Arlo Technologies' Depreciation & Amortization (CF) was $2.93 million in Q2 2026, up 241.3% from $858,000 a year earlier and up 72.5% from the prior quarter.
Arlo Technologies (ARLO) Depreciation & Amortization (CF) (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, Arlo Technologies' Depreciation & Amortization (CF) was $6.87 million through Jun 28, 2026, up 114.5% year-over-year; for FY2025, it came in at $3.93 million, up 22.8% from FY2024.
- Depreciation & Amortization (CF) shows a five-year compound annual growth rate of -17.4% (FY2020 to FY2025).
- In earlier years, Depreciation & Amortization (CF) was $3.2 million in FY2024 (-31.3%), $4.66 million in FY2023 (-2.2%), $4.77 million in FY2022 (-20.2%) and $5.98 million in FY2021 (-41.5%).
- The Q2 2026 figure marks the highest quarterly Depreciation & Amortization (CF) in data going back to Q2 2017.
- Compared with a year earlier, Depreciation & Amortization (CF) has increased for five straight quarters, with growth averaging 48.1% over the last eight quarters.
- The best year-over-year quarter for Depreciation & Amortization (CF) over five years was Q2 2026 (growth of 241.3%); the worst was Q3 2024 (a decline of 51.2%).
- Per Business Quant data, ARLO's Depreciation & Amortization (CF) in the three quarters before Q2 2026 was $1.7 million (Q1 2026), $1.35 million (Q4 2025) and $899,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 341.00 Mn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 82.08 Mn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 41.40 Mn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 68.63 Mn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 19.49 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 12.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 32.46 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 | 2.93 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 2.93 Mn |
| Mar 29, 2026 | 1.70 Mn |
| Dec 31, 2025 | 1.35 Mn |
| Sep 28, 2025 | 899,000.00 |
| Jun 29, 2025 | 858,000.00 |
| Mar 30, 2025 | 829,000.00 |
| Dec 31, 2024 | 805,000.00 |
| Sep 29, 2024 | 710,000.00 |
| Jun 30, 2024 | 782,000.00 |
| Mar 31, 2024 | 903,000.00 |
| Dec 31, 2023 | 852,000.00 |
| Oct 1, 2023 | 1.46 Mn |
| Jul 2, 2023 | 1.20 Mn |
| Apr 2, 2023 | 1.15 Mn |
| Dec 31, 2022 | 1.12 Mn |
| Oct 2, 2022 | 1.13 Mn |
| Jul 3, 2022 | 1.22 Mn |
| Apr 3, 2022 | 1.30 Mn |
| Dec 31, 2021 | 1.43 Mn |
| Oct 3, 2021 | 1.38 Mn |
Arlo Technologies Depreciation & Amortization (CF) 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-amortization-cf&ticker=ARLO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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-amortization-cf&ticker=ARLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();