Expensify (EXFY) Revenue (2020 - 2026)
Expensify (EXFY) recorded Revenue of $33.87 million in Q2 2026, down 5.3% from $35.76 million a year earlier and down 0.3% from the prior quarter.
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Analysis
Expensify (EXFY) Revenue (2020 - 2026) Analysis & Trends
On a TTM basis, Expensify's Revenue came in at $138.1 million as of Jun 30, 2026, down 4.3% year-over-year; for FY2025, it was $142.1 million, up 2.1% from FY2024.
- Annual Revenue has a five-year compound annual growth rate of 10.0% (FY2020 to FY2025).
- Across earlier years, Revenue came in at $139.24 million in FY2024 (-7.6%), $150.69 million in FY2023 (-11.1%), $169.5 million in FY2022 (+18.7%) and $142.84 million in FY2021 (+62.2%).
- The Q2 2026 figure is the lowest quarterly Revenue since Q2 2024.
- On a year-over-year basis, Revenue has declined for four consecutive quarters, with an average year-over-year change of 0.0% over the last eight quarters.
- Peak year-over-year performance for Revenue in the last five years was growth of 72.6% in Q3 2021, against a decline of 19.0% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $33.97 million (Q1 2026), $35.2 million (Q4 2025) and $35.07 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 449.27 Bn | 418.33 Bn | 1.64 Bn | 1.94 Bn |
| 2 | Oracle | 417.01 Bn | 289.56 Bn | - | 19.35 Bn |
| 3 | Sap Se | 258.97 Bn | 180.05 Bn | 8.40 Bn | 11.48 Bn |
| 4 | Salesforce | 185.51 Bn | 141.38 Bn | 8.70 Bn | 11.35 Bn |
| 5 | ServiceNow | 134.41 Bn | 112.87 Bn | 2.82 Bn | 3.99 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 5.47 Bn |
| 7 | Intuit | 71.93 Bn | 51.28 Bn | 3.44 Bn | 4.35 Bn |
| 8 | Relx | 60.47 Bn | 57.43 Bn | - | - |
| 9 | Strategy | 54.44 Bn | 47.43 Bn | 81.55 Mn | 122.37 Mn |
| 10 | Expensify | 205.85 Mn | -50.97 Mn | 16.33 Mn | 33.87 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 33.87 Mn |
| Mar 31, 2026 | 33.97 Mn |
| Dec 31, 2025 | 35.20 Mn |
| Sep 30, 2025 | 35.07 Mn |
| Jun 30, 2025 | 35.76 Mn |
| Mar 31, 2025 | 36.07 Mn |
| Dec 31, 2024 | 37.00 Mn |
| Sep 30, 2024 | 35.41 Mn |
| Jun 30, 2024 | 33.29 Mn |
| Mar 31, 2024 | 33.54 Mn |
| Dec 31, 2023 | 35.21 Mn |
| Sep 30, 2023 | 36.49 Mn |
| Jun 30, 2023 | 38.88 Mn |
| Mar 31, 2023 | 40.10 Mn |
| Dec 31, 2022 | 43.47 Mn |
| Sep 30, 2022 | 42.49 Mn |
| Jun 30, 2022 | 43.16 Mn |
| Mar 31, 2022 | 40.37 Mn |
| Dec 31, 2021 | 40.36 Mn |
| Sep 30, 2021 | 37.45 Mn |
API Access
Expensify Revenue 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=revenue&ticker=EXFY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=EXFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();