Expensify (EXFY) Change in Cash (2020 - 2026)
Expensify (EXFY) posted Change in Cash of $21,000 for Q2 2026, down 99.7% from $6.08 million a year earlier and down 99.6% from the prior quarter.
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Analysis
Expensify (EXFY) Change in Cash (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Cash at Expensify was $7.19 million; for FY2025, it was $13.79 million.
- Annual Change in Cash shows a five-year compound annual growth rate of 2.7% (FY2020 to FY2025).
- In prior years, Expensify's Change in Cash was -$5.82 million in FY2024, -$51.05 million in FY2023, $22.4 million in FY2022 (-71.4%) and $78.44 million in FY2021 (+549.5%).
- The Q2 2026 figure stands as the lowest quarterly Change in Cash since Q3 2024.
- On a year-over-year basis, Change in Cash has declined in each of the last three quarters, with growth averaging 7.9% over the last five quarters.
- The strongest year-over-year quarter for Change in Cash in the past five years was Q1 2025, with growth of 270.9%; the weakest was Q2 2026, with a decline of 99.7%.
- According to Business Quant data, Change in Cash for the three prior quarters was $4.97 million (Q1 2026), $243,000 (Q4 2025) and $1.95 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in Cash (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 456.65 Bn | 425.71 Bn | 1.64 Bn | -261.50 Mn |
| 2 | Oracle | 417.55 Bn | 290.11 Bn | - | 7.65 Bn |
| 3 | Sap Se | 259.04 Bn | 180.13 Bn | 8.40 Bn | 1.00 Bn |
| 4 | Salesforce | 194.78 Bn | 150.65 Bn | 8.70 Bn | -625.00 Mn |
| 5 | ServiceNow | 142.47 Bn | 120.93 Bn | 2.82 Bn | -193.00 Mn |
| 6 | Automatic Data Processing | 105.00 Bn | 87.13 Bn | 2.51 Bn | -1.97 Bn |
| 7 | Intuit | 75.89 Bn | 55.24 Bn | 3.44 Bn | -2.70 Bn |
| 8 | Relx | 60.92 Bn | 57.89 Bn | - | - |
| 9 | Strategy | 56.49 Bn | 49.48 Bn | 81.55 Mn | -495.56 Mn |
| 10 | Expensify | 217.80 Mn | -39.02 Mn | 16.33 Mn | 21,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21,000.00 |
| Mar 31, 2026 | 4.97 Mn |
| Dec 31, 2025 | 243,000.00 |
| Sep 30, 2025 | 1.95 Mn |
| Jun 30, 2025 | 6.08 Mn |
| Mar 31, 2025 | 5.52 Mn |
| Dec 31, 2024 | 5.58 Mn |
| Sep 30, 2024 | -21.14 Mn |
| Jun 30, 2024 | 8.25 Mn |
| Mar 31, 2024 | 1.49 Mn |
| Dec 31, 2023 | -37.95 Mn |
| Sep 30, 2023 | -6.75 Mn |
| Jun 30, 2023 | -13.24 Mn |
| Mar 31, 2023 | 6.89 Mn |
| Dec 31, 2022 | -359,000.00 |
| Sep 30, 2022 | -4.67 Mn |
| Jun 30, 2022 | 16.65 Mn |
| Mar 31, 2022 | 10.77 Mn |
| Dec 31, 2021 | 33.29 Mn |
| Sep 30, 2021 | 28.21 Mn |
API Access
Expensify Change in Cash 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=change-in-cash&ticker=EXFY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-cash", "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=change-in-cash&ticker=EXFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();