Expensify (EXFY) Market Capitalization (2021 - 2026)
Expensify (EXFY) recorded Market Capitalization of $164.5 million in Q2 2026, down 31.4% from $239.96 million a year earlier but up 96.1% from the prior quarter.
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Analysis
Expensify (EXFY) Market Capitalization (2021 - 2026) Analysis & Trends
For FY2025, Expensify reported Market Capitalization of $140.52 million, down 54.1% from FY2024.
- Annual Market Capitalization has a four-year compound annual growth rate of -54.6% (FY2021 to FY2025).
- Across earlier years, Market Capitalization came in at $306.11 million in FY2024 (+45.4%), $210.51 million in FY2023 (-71.1%), $727.85 million in FY2022 (-78.0%) and $3.31 billion in FY2021.
- Quarterly Market Capitalization has ranged from $83.9 million in Q1 2026 to $3.31 billion in Q4 2021 over the past five years.
- On a year-over-year basis, Market Capitalization has declined for four consecutive quarters, with growth averaging 1.5% over the last eight quarters.
- Peak year-over-year performance for Market Capitalization in the last five years was growth of 82.6% in Q2 2025, against a decline of 80.1% in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $83.9 million (Q1 2026), $140.52 million (Q4 2025) and $172.11 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 409.02 Bn | 373.85 Bn | 1.93 Bn |
| 2 | Oracle | 353.13 Bn | 225.26 Bn | - |
| 3 | Sap Se | 276.84 Bn | 204.24 Bn | 8.64 Bn |
| 4 | Salesforce | 176.39 Bn | 132.26 Bn | 8.70 Bn |
| 5 | Automatic Data Processing | 121.30 Bn | 108.10 Bn | 2.53 Bn |
| 6 | ServiceNow | 107.32 Bn | 86.59 Bn | 2.90 Bn |
| 7 | Intuit | 93.19 Bn | 72.54 Bn | 3.44 Bn |
| 8 | Relx | 73.35 Bn | 72.44 Bn | - |
| 9 | Strategy | 50.90 Bn | 38.04 Bn | 89.63 Mn |
| 10 | Expensify | 172.99 Mn | -86.12 Mn | 14.93 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 207.86 Mn |
| Jun 30, 2026 | 164.50 Mn |
| Mar 31, 2026 | 83.90 Mn |
| Dec 31, 2025 | 140.52 Mn |
| Sep 30, 2025 | 172.11 Mn |
| Jun 30, 2025 | 239.96 Mn |
| Mar 31, 2025 | 280.85 Mn |
| Dec 31, 2024 | 306.11 Mn |
| Sep 30, 2024 | 174.30 Mn |
| Jun 30, 2024 | 131.41 Mn |
| Mar 31, 2024 | 159.13 Mn |
| Dec 31, 2023 | 210.51 Mn |
| Sep 30, 2023 | 272.02 Mn |
| Jun 30, 2023 | 660.56 Mn |
| Mar 31, 2023 | 674.87 Mn |
| Dec 31, 2022 | 727.85 Mn |
| Sep 30, 2022 | 1.23 Bn |
| Jun 30, 2022 | 1.45 Bn |
| Mar 31, 2022 | 1.43 Bn |
| Dec 31, 2021 | 3.31 Bn |
API Access
Expensify Market Capitalization 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=market-capitalization&ticker=EXFY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "market-capitalization", "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=market-capitalization&ticker=EXFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();