Root (ROOT) Operating Expenses (2019 - 2026)
Root (ROOT) reported Operating Expenses of $354.6 million for Q2 2026, down 0.3% from $355.6 million a year earlier but up 0.6% from the prior quarter.
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Analysis
Root (ROOT) Operating Expenses (2019 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Root's Operating Expenses came in at $1.48 billion, up 19.0% year-over-year; for FY2025, it came in at $1.46 billion, up 32.5% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 18.1% (FY2020 to FY2025).
- By year, Operating Expenses came in at $1.1 billion in FY2024 (+97.4%), $556.3 million in FY2023 (-3.1%), $573.9 million in FY2022 (-30.9%) and $830.6 million in FY2021 (+31.4%).
- Five-year quarterly Operating Expenses spans a low of $99.9 million in Q1 2023 and a high of $387.5 million in Q3 2025.
- Year over year, Operating Expenses gained in seven of the last eight quarters, with growth averaging 32.6%.
- The high point for year-over-year Operating Expenses in five years was Q2 2024 (growth of 185.4%); the low point was Q3 2022 (a decline of 40.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $352.6 million (Q1 2026), $386.5 million (Q4 2025) and $387.5 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.69 Bn | -333.79 Bn | 55.86 Bn | 86.07 Bn |
| 2 | Chubb | 127.81 Bn | 79.86 Bn | 9.13 Bn | 12.19 Bn |
| 3 | Progressive | 121.79 Bn | 97.63 Bn | 9.04 Bn | 19.40 Bn |
| 4 | Marsh & Mclennan Companies | 80.80 Bn | 72.54 Bn | - | 5.51 Bn |
| 5 | Travelers Companies | 75.76 Bn | 52.01 Bn | 6.23 Bn | 9.39 Bn |
| 6 | Manulife Financial | 74.06 Bn | 75.27 Bn | - | -902.21 Mn |
| 7 | Metlife | 61.12 Bn | -45.36 Bn | 7.82 Bn | 18.12 Bn |
| 8 | Arthur J. Gallagher | 58.82 Bn | 53.25 Bn | - | 3.59 Bn |
| 9 | Allstate | 57.81 Bn | 19.06 Bn | 8.73 Bn | 14.45 Bn |
| 10 | Root | 640.20 Mn | -1.81 Bn | - | 354.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 354.60 Mn |
| Mar 31, 2026 | 352.60 Mn |
| Dec 31, 2025 | 386.50 Mn |
| Sep 30, 2025 | 387.50 Mn |
| Jun 30, 2025 | 355.60 Mn |
| Mar 31, 2025 | 325.70 Mn |
| Dec 31, 2024 | 291.80 Mn |
| Sep 30, 2024 | 271.30 Mn |
| Jun 30, 2024 | 285.40 Mn |
| Mar 31, 2024 | 249.50 Mn |
| Dec 31, 2023 | 207.10 Mn |
| Sep 30, 2023 | 149.30 Mn |
| Jun 30, 2023 | 100.00 Mn |
| Mar 31, 2023 | 99.90 Mn |
| Dec 31, 2022 | 119.00 Mn |
| Sep 30, 2022 | 130.80 Mn |
| Jun 30, 2022 | 166.70 Mn |
| Mar 31, 2022 | 157.40 Mn |
| Dec 31, 2021 | 185.10 Mn |
| Sep 30, 2021 | 220.70 Mn |
API Access
Root 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=ROOT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ROOT", "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=ROOT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();