Expensify (EXFY) Shares Outstanding (2020 - 2026)
Expensify (EXFY) recorded Shares Outstanding of 95.44 million in Q2 2026, up 3.4% from 92.27 million a year earlier and up 1.8% from the prior quarter.
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Analysis
Expensify (EXFY) Shares Outstanding (2020 - 2026) Analysis & Trends
For FY2025, Expensify reported Shares Outstanding of 92.28 million, up 5.6% from FY2024.
- Annual Shares Outstanding has increased for six straight years, with a five-year compound annual growth rate of 27.5% (FY2020 to FY2025).
- Across earlier years, Shares Outstanding came in at 87.38 million in FY2024 (+5.9%), 82.49 million in FY2023 (+2.1%), 80.79 million in FY2022 (+112.4%) and 38.04 million in FY2021 (+38.7%).
- The Q2 2026 figure is the highest quarterly Shares Outstanding in data going back to Q3 2020.
- On a year-over-year basis, Shares Outstanding has increased for 20 consecutive quarters, with growth averaging 5.4% over the last eight quarters.
- The year-over-year growth in Shares Outstanding has ranged between 1.9% (Q3 2023) and 171.5% (Q1 2022) over the last five years.
- Per Business Quant, the preceding three quarters came in at 93.72 million (Q1 2026), 92.28 million (Q4 2025) and 92.56 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 405.94 Bn | 370.77 Bn | 1.93 Bn | 2.41 Bn |
| 2 | Oracle | 352.24 Bn | 224.37 Bn | - | 2.97 Bn |
| 3 | Sap Se | 276.54 Bn | 203.94 Bn | 8.64 Bn | 1.17 Bn |
| 4 | Salesforce | 176.18 Bn | 132.05 Bn | 8.70 Bn | 820.00 Mn |
| 5 | Automatic Data Processing | 121.53 Bn | 108.33 Bn | 2.53 Bn | 402.30 Mn |
| 6 | ServiceNow | 107.01 Bn | 86.28 Bn | 2.90 Bn | 1.03 Bn |
| 7 | Intuit | 93.32 Bn | 72.67 Bn | 3.44 Bn | 276.00 Mn |
| 8 | Relx | 73.41 Bn | 72.51 Bn | - | 1.83 Bn |
| 9 | Strategy | 50.50 Bn | 37.63 Bn | 89.63 Mn | 400.15 Mn |
| 10 | Expensify | 172.08 Mn | -87.04 Mn | 14.93 Mn | 91.53 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 91.53 Mn |
| Jun 30, 2026 | 95.44 Mn |
| Mar 31, 2026 | 93.72 Mn |
| Dec 31, 2025 | 92.28 Mn |
| Sep 30, 2025 | 92.56 Mn |
| Jun 30, 2025 | 92.27 Mn |
| Mar 31, 2025 | 91.50 Mn |
| Dec 31, 2024 | 87.38 Mn |
| Sep 30, 2024 | 88.18 Mn |
| Jun 30, 2024 | 86.59 Mn |
| Mar 31, 2024 | 85.14 Mn |
| Dec 31, 2023 | 82.49 Mn |
| Sep 30, 2023 | 82.47 Mn |
| Jun 30, 2023 | 82.01 Mn |
| Mar 31, 2023 | 81.77 Mn |
| Dec 31, 2022 | 80.79 Mn |
| Sep 30, 2022 | 80.94 Mn |
| Jun 30, 2022 | 80.47 Mn |
| Mar 31, 2022 | 80.15 Mn |
| Dec 31, 2021 | 38.04 Mn |
API Access
Expensify Shares Outstanding 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=shares-outstanding&ticker=EXFY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=EXFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();