Root (ROOT) Capital Expenditures (2019 - 2024)
Root's Capital Expenditures was $400,000 in FY2024, up 100.0% from $200,000 in FY2023.
Analysis
Root (ROOT) Capital Expenditures (2019 - 2024) Analysis & Trends
From FY2018 onward, Root has reported Capital Expenditures for 6 years.
- Capital Expenditures shows a five-year compound annual growth rate of -42.9% (FY2019 to FY2024).
- The FY2024 figure marks the highest annual Capital Expenditures since FY2021.
- Per Business Quant data, Capital Expenditures in earlier years was $200,000 in FY2023, $4.6 million in FY2021 (+155.6%) and $1.8 million in FY2020 (-72.7%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 138.35 Bn | 84.93 Bn | 9.13 Bn | - |
| 2 | Progressive | 129.14 Bn | 104.97 Bn | 9.04 Bn | 138.00 Mn |
| 3 | Marsh & Mclennan Companies | 91.11 Bn | 83.27 Bn | - | 81.00 Mn |
| 4 | Travelers Companies | 83.32 Bn | 59.56 Bn | 6.23 Bn | 10.00 Mn |
| 5 | Manulife Financial | 75.74 Bn | -19.14 Bn | - | - |
| 6 | Arthur J. Gallagher | 66.49 Bn | 60.90 Bn | - | 51.00 Mn |
| 7 | Metlife | 64.97 Bn | -41.81 Bn | 7.82 Bn | 284.00 Mn |
| 8 | Allstate | 63.98 Bn | 25.25 Bn | 8.73 Bn | 43.00 Mn |
| 9 | Aon | 63.25 Bn | 56.46 Bn | - | 73.00 Mn |
| 10 | Root | 829.67 Mn | -1.62 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2024 | 200,000.00 |
| Mar 31, 2024 | 200,000.00 |
| Jun 30, 2023 | 200,000.00 |
| Dec 31, 2021 | 2.30 Mn |
| Sep 30, 2021 | 800,000.00 |
| Jun 30, 2021 | 1.10 Mn |
| Mar 31, 2021 | 400,000.00 |
| Dec 31, 2020 | 100,000.00 |
| Sep 30, 2020 | 200,000.00 |
| Jun 30, 2020 | 200,000.00 |
| Mar 31, 2020 | 1.30 Mn |
| Dec 31, 2019 | 2.80 Mn |
API Access
Root Capital Expenditures 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=capital-expenditures&ticker=ROOT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=ROOT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();