Expensify (EXFY) Other Operating Expenses (2020 - 2026)
Expensify's Other Operating Expenses came in at $4.68 million for Q2 2026, down 67.4% from $14.35 million a year earlier but up 24.4% from the prior quarter.
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Analysis
Expensify (EXFY) Other Operating Expenses (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Expensify reported Other Operating Expenses of $17.29 million, down 28.6% year-over-year; for FY2025, it was $26.74 million, up 109.0% from FY2024.
- Other Operating Expenses carries a five-year compound annual growth rate of 22.0% (FY2020 to FY2025).
- Going back by year, Other Operating Expenses was $12.8 million in FY2024 (-71.1%), $44.35 million in FY2023 (-11.1%), $49.88 million in FY2022 (+80.3%) and $27.66 million in FY2021 (+179.8%).
- The five-year range for quarterly Other Operating Expenses is $3.07 million (Q4 2024) to $14.71 million (Q2 2023).
- Year-over-year, Other Operating Expenses increased in five of the last eight quarters, with growth averaging 31.8%.
- The fastest year-over-year change in Other Operating Expenses over five years came in Q4 2021 (growth of 532.1%), and the weakest in Q2 2024 (a decline of 79.1%).
- Business Quant data shows EXFY's Other Operating Expenses at $3.76 million (Q1 2026), $3.92 million (Q4 2025) and $4.94 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 405.94 Bn | 370.77 Bn | 1.93 Bn |
| 2 | Oracle | 352.24 Bn | 224.37 Bn | - |
| 3 | Sap Se | 276.54 Bn | 203.94 Bn | 8.64 Bn |
| 4 | Salesforce | 176.18 Bn | 132.05 Bn | 8.70 Bn |
| 5 | Automatic Data Processing | 121.53 Bn | 108.33 Bn | 2.53 Bn |
| 6 | ServiceNow | 107.01 Bn | 86.28 Bn | 2.90 Bn |
| 7 | Intuit | 93.32 Bn | 72.67 Bn | 3.44 Bn |
| 8 | Relx | 73.41 Bn | 72.51 Bn | - |
| 9 | Strategy | 50.50 Bn | 37.63 Bn | 89.63 Mn |
| 10 | Expensify | 172.08 Mn | -87.04 Mn | 14.93 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 4.35 Mn |
| Jun 30, 2026 | 4.68 Mn |
| Mar 31, 2026 | 3.76 Mn |
| Dec 31, 2025 | 3.92 Mn |
| Sep 30, 2025 | 4.94 Mn |
| Jun 30, 2025 | 14.35 Mn |
| Mar 31, 2025 | 3.54 Mn |
| Dec 31, 2024 | 3.07 Mn |
| Sep 30, 2024 | 3.27 Mn |
| Jun 30, 2024 | 3.07 Mn |
| Mar 31, 2024 | 3.38 Mn |
| Dec 31, 2023 | 7.60 Mn |
| Sep 30, 2023 | 12.86 Mn |
| Jun 30, 2023 | 14.71 Mn |
| Mar 31, 2023 | 9.18 Mn |
| Dec 31, 2022 | 11.92 Mn |
| Sep 30, 2022 | 12.34 Mn |
| Jun 30, 2022 | 12.24 Mn |
| Mar 31, 2022 | 13.37 Mn |
| Dec 31, 2021 | 13.11 Mn |
API Access
Expensify Other Operating 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=other-operating-expenses&ticker=EXFY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=EXFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();