Expensify (EXFY) Change in Accured Expenses (2020 - 2026)
Expensify (EXFY) recorded Change in Accured Expenses of $194,000 in Q2 2026, compared with -$500,000 a year earlier.
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Analysis
Expensify (EXFY) Change in Accured Expenses (2020 - 2026) Analysis & Trends
On a TTM basis, Expensify's Change in Accured Expenses came in at -$1.23 million as of Jun 30, 2026; for FY2025, it was $9.73 million.
- Annual Change in Accured Expenses has a five-year compound annual growth rate of 40.5% (FY2020 to FY2025).
- Across earlier years, Change in Accured Expenses came in at -$404,000 in FY2024, $906,000 in FY2023, -$1.54 million in FY2022 and $7.51 million in FY2021 (+323.4%).
- Quarterly Change in Accured Expenses has ranged from -$11.36 million in Q4 2021 to $12.1 million in Q3 2021 over the past five years.
- Per Business Quant, the preceding three quarters came in at -$10.19 million (Q1 2026), $10.08 million (Q4 2025) and -$1.31 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 453.55 Bn | 422.61 Bn | 1.64 Bn | 7.31 Mn |
| 2 | Oracle | 430.98 Bn | 303.54 Bn | - | -1.08 Bn |
| 3 | Sap Se | 256.23 Bn | 177.31 Bn | 8.40 Bn | - |
| 4 | Salesforce | 193.08 Bn | 148.96 Bn | 8.70 Bn | 891.00 Mn |
| 5 | ServiceNow | 138.94 Bn | 117.40 Bn | 2.82 Bn | 280.00 Mn |
| 6 | Automatic Data Processing | 102.51 Bn | 84.63 Bn | 2.51 Bn | 200.00 Mn |
| 7 | Intuit | 75.44 Bn | 54.79 Bn | 3.44 Bn | 304.00 Mn |
| 8 | Relx | 60.79 Bn | 57.76 Bn | - | - |
| 9 | Strategy | 56.32 Bn | 49.31 Bn | 81.55 Mn | -2.04 Mn |
| 10 | Expensify | 206.77 Mn | -50.05 Mn | 16.33 Mn | 194,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 194,000.00 |
| Mar 31, 2026 | -10.19 Mn |
| Dec 31, 2025 | 10.08 Mn |
| Sep 30, 2025 | -1.31 Mn |
| Jun 30, 2025 | -500,000.00 |
| Mar 31, 2025 | 1.46 Mn |
| Dec 31, 2024 | 1.10 Mn |
| Sep 30, 2024 | -396,000.00 |
| Jun 30, 2024 | -2.15 Mn |
| Mar 31, 2024 | 1.04 Mn |
| Dec 31, 2023 | -3.35 Mn |
| Sep 30, 2023 | 1.59 Mn |
| Jun 30, 2023 | 723,000.00 |
| Mar 31, 2023 | 1.95 Mn |
| Dec 31, 2022 | 658,000.00 |
| Sep 30, 2022 | -829,000.00 |
| Jun 30, 2022 | 1.27 Mn |
| Mar 31, 2022 | -2.64 Mn |
| Dec 31, 2021 | -11.36 Mn |
| Sep 30, 2021 | 12.10 Mn |
API Access
Expensify Change in Accured Expenses 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-accured-expenses&ticker=EXFY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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-accured-expenses&ticker=EXFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();