Expensify (EXFY) Cash & Equivalents (2020 - 2026)
Expensify's Cash & Equivalents was $65.76 million in Q2 2026, up 8.7% from $60.52 million a year earlier but down 1.2% from the prior quarter.
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Analysis
Expensify (EXFY) Cash & Equivalents (2020 - 2026) Analysis & Trends
At the end of FY2025, Cash & Equivalents at Expensify came in at $63.08 million, up 29.3% from FY2024.
- Cash & Equivalents shows a five-year compound annual growth rate of 12.9% (FY2020 to FY2025).
- In earlier years, Cash & Equivalents was $48.77 million in FY2024 (+2.7%), $47.51 million in FY2023 (-54.2%), $103.79 million in FY2022 (+5.5%) and $98.4 million in FY2021 (+186.0%).
- Quarterly Cash & Equivalents has moved between $39.17 million (Q3 2024) and $111.23 million (Q1 2023) over five years.
- Compared with a year earlier, Cash & Equivalents has increased for seven straight quarters, with growth averaging 10.9% over the last eight quarters.
- The best year-over-year quarter for Cash & Equivalents over five years was Q4 2021 (growth of 186.0%); the worst was Q3 2024 (a decline of 56.0%).
- Per Business Quant data, EXFY's Cash & Equivalents in the three quarters before Q2 2026 was $66.53 million (Q1 2026), $63.08 million (Q4 2025) and $61.45 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 453.55 Bn | 422.61 Bn | 1.64 Bn | 2.03 Bn |
| 2 | Oracle | 430.98 Bn | 303.54 Bn | - | 36.37 Bn |
| 3 | Sap Se | 256.23 Bn | 177.31 Bn | 8.40 Bn | 12.22 Bn |
| 4 | Salesforce | 193.08 Bn | 148.96 Bn | 8.70 Bn | 8.31 Bn |
| 5 | ServiceNow | 138.94 Bn | 117.40 Bn | 2.82 Bn | 2.50 Bn |
| 6 | Automatic Data Processing | 102.51 Bn | 84.63 Bn | 2.51 Bn | 4.23 Bn |
| 7 | Intuit | 75.44 Bn | 54.79 Bn | 3.44 Bn | 4.71 Bn |
| 8 | Relx | 60.79 Bn | 57.76 Bn | - | 295.17 Mn |
| 9 | Strategy | 56.32 Bn | 49.31 Bn | 81.55 Mn | 1.71 Bn |
| 10 | Expensify | 206.77 Mn | -50.05 Mn | 16.33 Mn | 65.76 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 65.76 Mn |
| Mar 31, 2026 | 66.53 Mn |
| Dec 31, 2025 | 63.08 Mn |
| Sep 30, 2025 | 61.45 Mn |
| Jun 30, 2025 | 60.52 Mn |
| Mar 31, 2025 | 59.63 Mn |
| Dec 31, 2024 | 48.77 Mn |
| Sep 30, 2024 | 39.17 Mn |
| Jun 30, 2024 | 53.23 Mn |
| Mar 31, 2024 | 49.34 Mn |
| Dec 31, 2023 | 47.51 Mn |
| Sep 30, 2023 | 89.12 Mn |
| Jun 30, 2023 | 97.80 Mn |
| Mar 31, 2023 | 111.23 Mn |
| Dec 31, 2022 | 103.79 Mn |
| Sep 30, 2022 | 106.21 Mn |
| Jun 30, 2022 | 105.54 Mn |
| Mar 31, 2022 | 101.10 Mn |
| Dec 31, 2021 | 98.40 Mn |
| Sep 30, 2021 | 68.06 Mn |
API Access
Expensify Cash & Equivalents 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=cash-and-equivalents&ticker=EXFY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=EXFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();