Expensify (EXFY) Capital Expenditures (2020 - 2023)
Expensify's Capital Expenditures was $17,000 in FY2025.
Analysis
Expensify (EXFY) Capital Expenditures (2020 - 2023) Analysis & Trends
From FY2019 onward, Expensify has reported Capital Expenditures for 6 years.
- Capital Expenditures shows a five-year compound annual growth rate of -63.1% (FY2020 to FY2025).
- The FY2025 figure marks the lowest annual Capital Expenditures in data going back to FY2019.
- Per Business Quant data, Capital Expenditures in earlier years was $1.38 million in FY2023 (+136.6%), $585,000 in FY2022 (-78.4%) and $2.71 million in FY2021 (+8.8%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 484.14 Bn | 453.09 Bn | 1.64 Bn | 14.55 Mn |
| 2 | Oracle | 382.29 Bn | 254.42 Bn | - | 28.50 Bn |
| 3 | Sap Se | 271.18 Bn | 198.96 Bn | 8.40 Bn | -134.83 Mn |
| 4 | Salesforce | 198.30 Bn | 154.17 Bn | 8.70 Bn | 171.00 Mn |
| 5 | ServiceNow | 157.86 Bn | 136.32 Bn | 2.82 Bn | 114.00 Mn |
| 6 | Automatic Data Processing | 118.67 Bn | 100.80 Bn | 2.51 Bn | 72.80 Mn |
| 7 | Intuit | 92.65 Bn | 72.00 Bn | 3.44 Bn | 27.00 Mn |
| 8 | Relx | 71.64 Bn | 70.74 Bn | - | - |
| 9 | Strategy | 54.13 Bn | 47.12 Bn | 81.55 Mn | 1.77 Mn |
| 10 | Expensify | 248.62 Mn | -8.20 Mn | 16.33 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 281,000.00 |
| Sep 30, 2023 | 624,000.00 |
| Jun 30, 2023 | 451,000.00 |
| Mar 31, 2023 | 28,000.00 |
| Dec 31, 2022 | 118,000.00 |
| Sep 30, 2022 | 200,000.00 |
| Jun 30, 2022 | 88,000.00 |
| Mar 31, 2022 | 179,000.00 |
| Dec 31, 2021 | 104,000.00 |
| Sep 30, 2021 | 662,000.00 |
| Jun 30, 2021 | 1.66 Mn |
| Mar 31, 2021 | 284,000.00 |
| Dec 31, 2020 | 631,000.00 |
API Access
Expensify 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=EXFY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "ticker": "EXFY", "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=EXFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();