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 | 449.46 Bn | 418.52 Bn | 1.64 Bn | 0.41 |
| 2 | Oracle | 415.29 Bn | 287.84 Bn | - | 1.56 |
| 3 | Sap Se | 256.30 Bn | 177.39 Bn | 8.40 Bn | 2.19 |
| 4 | Salesforce | 188.94 Bn | 144.82 Bn | 8.70 Bn | 4.29 |
| 5 | ServiceNow | 138.57 Bn | 117.03 Bn | 2.82 Bn | 0.29 |
| 6 | Automatic Data Processing | 102.66 Bn | 84.78 Bn | 2.51 Bn | 2.43 |
| 7 | Intuit | 74.00 Bn | 53.35 Bn | 3.44 Bn | 1.31 |
| 8 | Relx | 60.34 Bn | 57.31 Bn | - | - |
| 9 | Strategy | 53.88 Bn | 46.87 Bn | 81.55 Mn | -24.45 |
| 10 | Expensify | 206.77 Mn | -50.05 Mn | 16.33 Mn | -0.04 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | -0.18 |
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();