Life360 (LIF) Return on Sales [ROS] (2021 - 2026)
Life360 (LIF) recorded Return on Sales [ROS] of -0.04% in Q2 2026, down 1.76 percentage points from 1.73% a year earlier but up 5.61 percentage points from the prior quarter.
Life360 (LIF) Return on Sales [ROS] (2021 - 2026) Analysis & Trends
On a TTM basis, Life360's Return on Sales [ROS] came in at 1.14% as of Jun 30, 2026, down 0.02 percentage points year-over-year; for FY2025, it was 3.85%, up 5.99 percentage points from FY2024.
- Annual Return on Sales [ROS] has increased for three straight years, with a five-year change of +24.49 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at -2.15% in FY2024 (+7.70 pp), -9.85% in FY2023 (+31.51 pp), -41.35% in FY2022 (-12.71 pp) and -28.64% in FY2021 (-8.00 pp).
- Quarterly Return on Sales [ROS] has ranged from -68.52% in Q2 2022 to 6.13% in Q4 2025 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] rose in six of the last eight quarters, with an average year-over-year change of +3.65 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 62.53 percentage points in Q2 2023, against a drop of 41.30 percentage points in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at -5.64% (Q1 2026), 6.13% (Q4 2025) and 4.57% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | 5.04% |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | -2.26% |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | 33.66% |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | -17.00% |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | 0.49% |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | 13.29% |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | 5.17% |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | - |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | 3.68% |
| 10 | Life360 | 3.50 Bn | 1.93 Bn | 126.90 Mn | -0.04% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -0.04% |
| Mar 31, 2026 | -5.64% |
| Dec 31, 2025 | 6.13% |
| Sep 30, 2025 | 4.57% |
| Jun 30, 2025 | 1.73% |
| Mar 31, 2025 | 2.11% |
| Dec 31, 2024 | 4.95% |
| Sep 30, 2024 | -5.33% |
| Jun 30, 2024 | -2.78% |
| Mar 31, 2024 | -8.15% |
| Dec 31, 2023 | -4.99% |
| Sep 30, 2023 | -8.28% |
| Jun 30, 2023 | -5.99% |
| Mar 31, 2023 | -21.85% |
| Dec 31, 2022 | -17.82% |
| Sep 30, 2022 | -36.96% |
| Jun 30, 2022 | -68.52% |
| Mar 31, 2022 | -53.18% |
| Dec 31, 2021 | -39.65% |
| Sep 30, 2021 | -26.09% |
Life360 Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=LIF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=LIF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();