Expensify (EXFY) EPS (Diluted) (2020 - 2026)
Expensify (EXFY) recorded EPS (Diluted) of -$0.04 in Q2 2026, compared with -$0.10 a year earlier.
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Analysis
Expensify (EXFY) EPS (Diluted) (2020 - 2026) Analysis & Trends
On a TTM basis, Expensify's EPS (Diluted) came in at -$0.16 as of Jun 30, 2026; for FY2025, it came in at -$0.23.
- Across earlier years, EPS (Diluted) came in at -$0.12 in FY2024, -$0.50 in FY2023, -$0.33 in FY2022 and -$0.36 in FY2021.
- Quarterly EPS (Diluted) has ranged from -$0.43 in Q4 2021 to -$0.02 in Q4 2024 over the past five years.
- Per Business Quant, the preceding three quarters came in at -$0.02 (Q1 2026), -$0.08 (Q4 2025) and -$0.03 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 408.73 Bn | 373.56 Bn | 1.93 Bn | 0.44 |
| 2 | Oracle | 352.87 Bn | 225.00 Bn | - | 1.56 |
| 3 | Sap Se | 276.76 Bn | 204.16 Bn | 8.64 Bn | 2.20 |
| 4 | Salesforce | 175.91 Bn | 131.79 Bn | 8.70 Bn | 4.29 |
| 5 | Automatic Data Processing | 121.25 Bn | 108.04 Bn | 2.53 Bn | 2.79 |
| 6 | ServiceNow | 107.40 Bn | 86.66 Bn | 2.90 Bn | 0.27 |
| 7 | Intuit | 93.12 Bn | 72.47 Bn | 3.44 Bn | 1.31 |
| 8 | Relx | 73.28 Bn | 72.38 Bn | - | - |
| 9 | Strategy | 51.23 Bn | 38.37 Bn | 89.63 Mn | 44.67 |
| 10 | Expensify | 175.28 Mn | -83.84 Mn | 14.93 Mn | -0.04 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -0.04 |
| Jun 30, 2026 | -0.04 |
| Mar 31, 2026 | -0.02 |
| Dec 31, 2025 | -0.08 |
| Sep 30, 2025 | -0.03 |
| Jun 30, 2025 | -0.10 |
| Mar 31, 2025 | -0.03 |
| Dec 31, 2024 | -0.02 |
| Sep 30, 2024 | -0.02 |
| Jun 30, 2024 | -0.03 |
| Mar 31, 2024 | -0.04 |
| Dec 31, 2023 | -0.09 |
| Sep 30, 2023 | -0.21 |
| Jun 30, 2023 | -0.14 |
| Mar 31, 2023 | -0.07 |
| Dec 31, 2022 | -0.04 |
| Sep 30, 2022 | -0.10 |
| Jun 30, 2022 | -0.10 |
| Mar 31, 2022 | -0.09 |
| Dec 31, 2021 | -0.43 |
API Access
Expensify EPS (Diluted) 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=eps-diluted&ticker=EXFY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=EXFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();