Life360 (LIF) Research & Development (2021 - 2026)
Life360's Research & Development came in at $47.4 million for Q2 2026, up 46.9% from $32.26 million a year earlier and up 20.7% from the prior quarter.
Life360 (LIF) Research & Development (2021 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Life360 reported Research & Development of $152.42 million, up 25.5% year-over-year; for FY2025, it was $128.41 million, up 13.6% from FY2024.
- Research & Development carries a five-year compound annual growth rate of 26.5% (FY2020 to FY2025).
- Going back by year, Research & Development was $113.07 million in FY2024 (+12.0%), $100.97 million in FY2023 (-1.5%), $102.48 million in FY2022 (+101.0%) and $50.99 million in FY2021 (+28.6%).
- The Q2 2026 figure represents the highest quarterly Research & Development in data going back to Q2 2021.
- Year-over-year, Research & Development has increased for 11 consecutive quarters, with growth averaging 20.4% over the last eight quarters.
- The fastest year-over-year change in Research & Development over five years came in Q2 2022 (growth of 125.0%), and the weakest in Q2 2023 (a decline of 14.2%).
- Business Quant data shows LIF's Research & Development at $39.27 million (Q1 2026), $33.34 million (Q4 2025) and $32.41 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 779.00 Mn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 444.20 Mn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 225.00 Mn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 567.48 Mn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 477.97 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 208.69 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 163.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 679.00 Mn |
| 10 | Life360 | 3.25 Bn | 1.68 Bn | 126.90 Mn | 47.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 47.40 Mn |
| Mar 31, 2026 | 39.27 Mn |
| Dec 31, 2025 | 33.34 Mn |
| Sep 30, 2025 | 32.41 Mn |
| Jun 30, 2025 | 32.26 Mn |
| Mar 31, 2025 | 30.40 Mn |
| Dec 31, 2024 | 29.79 Mn |
| Sep 30, 2024 | 29.01 Mn |
| Jun 30, 2024 | 27.01 Mn |
| Mar 31, 2024 | 27.26 Mn |
| Dec 31, 2023 | 26.02 Mn |
| Sep 30, 2023 | 24.57 Mn |
| Jun 30, 2023 | 23.18 Mn |
| Mar 31, 2023 | 27.20 Mn |
| Dec 31, 2022 | 25.14 Mn |
| Sep 30, 2022 | 24.57 Mn |
| Jun 30, 2022 | 27.03 Mn |
| Mar 31, 2022 | 25.74 Mn |
| Dec 31, 2021 | 15.17 Mn |
| Sep 30, 2021 | 13.11 Mn |
Life360 Research & Development 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=research-and-development&ticker=LIF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=LIF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();