Life360 (LIF) Operating Expenses (2021 - 2026)
Life360 (LIF) posted Operating Expenses of $126.96 million for Q2 2026, up 43.4% from $88.51 million a year earlier and up 7.0% from the prior quarter.
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Analysis
Life360 (LIF) Operating Expenses (2021 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Life360 was $437.75 million, up 34.8% year-over-year; for FY2025, it came in at $362.02 million, up 26.1% from FY2024.
- Annual Operating Expenses has increased for five consecutive years, with a five-year compound annual growth rate of 34.6% (FY2020 to FY2025).
- In prior years, Life360's Operating Expenses was $287.13 million in FY2024 (+13.7%), $252.62 million in FY2023 (+4.0%), $243.01 million in FY2022 (+99.0%) and $122.14 million in FY2021 (+49.1%).
- The Q2 2026 figure stands as the highest quarterly Operating Expenses in data going back to Q2 2021.
- On a year-over-year basis, Operating Expenses has increased in each of the last 12 quarters, with growth averaging 29.3% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q2 2022, with growth of 131.9%; the weakest was Q2 2023, with a decline of 5.9%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $118.64 million (Q1 2026), $100.7 million (Q4 2025) and $91.44 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 2.13 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 1.13 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 953.90 Mn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 1.30 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 875.89 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 499.67 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 534.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 4.17 Bn |
| 10 | Life360 | 3.25 Bn | 1.68 Bn | 126.90 Mn | 126.96 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 126.96 Mn |
| Mar 31, 2026 | 118.64 Mn |
| Dec 31, 2025 | 100.70 Mn |
| Sep 30, 2025 | 91.44 Mn |
| Jun 30, 2025 | 88.51 Mn |
| Mar 31, 2025 | 81.36 Mn |
| Dec 31, 2024 | 79.79 Mn |
| Sep 30, 2024 | 74.96 Mn |
| Jun 30, 2024 | 65.99 Mn |
| Mar 31, 2024 | 66.39 Mn |
| Dec 31, 2023 | 64.48 Mn |
| Sep 30, 2023 | 64.39 Mn |
| Jun 30, 2023 | 59.03 Mn |
| Mar 31, 2023 | 64.72 Mn |
| Dec 31, 2022 | 57.66 Mn |
| Sep 30, 2022 | 60.36 Mn |
| Jun 30, 2022 | 62.76 Mn |
| Mar 31, 2022 | 62.23 Mn |
| Dec 31, 2021 | 40.67 Mn |
| Sep 30, 2021 | 32.06 Mn |
API Access
Life360 Operating Expenses 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=operating-expenses&ticker=LIF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=LIF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();