Life360 (LIF) Cost of Revenue (2021 - 2026)
Life360's Cost of Revenue came in at $32.06 million for Q2 2026, up 28.8% from $24.88 million a year earlier but down 1.5% from the prior quarter.
Life360 (LIF) Cost of Revenue (2021 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Life360 reported Cost of Revenue of $128.3 million, up 31.1% year-over-year; for FY2025, it was $108.64 million, up 17.7% from FY2024.
- Cost of Revenue has increased in each of the last five years, with a five-year compound annual growth rate of 47.8% (FY2020 to FY2025).
- Going back by year, Cost of Revenue was $92.33 million in FY2024 (+12.8%), $81.88 million in FY2023 (+2.7%), $79.71 million in FY2022 (+250.1%) and $22.77 million in FY2021 (+47.9%).
- The five-year range for quarterly Cost of Revenue is $5.39 million (Q3 2021) to $36.32 million (Q4 2025).
- Year-over-year, Cost of Revenue has increased for nine consecutive quarters, with growth averaging 22.7% over the last eight quarters.
- The fastest year-over-year change in Cost of Revenue over five years came in Q2 2022 (growth of 310.8%), and the weakest in Q2 2023 (a decline of 18.2%).
- Business Quant data shows LIF's Cost of Revenue at $32.56 million (Q1 2026), $36.32 million (Q4 2025) and $27.36 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | 1.11 Bn |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | 374.00 Mn |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | 404.70 Mn |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | 510.08 Mn |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | 240.11 Mn |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | 164.00 Mn |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | 357.94 Mn |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | - |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | 202.01 Mn |
| 10 | Life360 | 3.50 Bn | 1.93 Bn | 126.90 Mn | 32.06 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 32.06 Mn |
| Mar 31, 2026 | 32.56 Mn |
| Dec 31, 2025 | 36.32 Mn |
| Sep 30, 2025 | 27.36 Mn |
| Jun 30, 2025 | 24.88 Mn |
| Mar 31, 2025 | 20.08 Mn |
| Dec 31, 2024 | 30.02 Mn |
| Sep 30, 2024 | 22.85 Mn |
| Jun 30, 2024 | 21.24 Mn |
| Mar 31, 2024 | 18.21 Mn |
| Dec 31, 2023 | 26.82 Mn |
| Sep 30, 2023 | 20.74 Mn |
| Jun 30, 2023 | 16.01 Mn |
| Mar 31, 2023 | 18.31 Mn |
| Dec 31, 2022 | 26.39 Mn |
| Sep 30, 2022 | 17.91 Mn |
| Jun 30, 2022 | 19.56 Mn |
| Mar 31, 2022 | 15.85 Mn |
| Dec 31, 2021 | 8.13 Mn |
| Sep 30, 2021 | 5.39 Mn |
Life360 Cost of Revenue 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=cost-of-revenue&ticker=LIF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "ticker": "LIF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=cost-of-revenue&ticker=LIF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();