Expensify (EXFY) Selling, General & Administrative (2020 - 2026)
Expensify's Selling, General & Administrative was $9.59 million in Q2 2026, up 1.9% from $9.41 million a year earlier and up 5.2% from the prior quarter.
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Analysis
Expensify (EXFY) Selling, General & Administrative (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Expensify's Selling, General & Administrative was $40.59 million through Jun 30, 2026, up 7.0% year-over-year; for FY2025, it came in at $42.12 million, up 9.7% from FY2024.
- Selling, General & Administrative shows a five-year compound annual growth rate of 4.8% (FY2020 to FY2025).
- In earlier years, Selling, General & Administrative was $38.38 million in FY2024 (-22.0%), $49.23 million in FY2023 (-15.8%), $58.49 million in FY2022 (-3.7%) and $60.74 million in FY2021 (+82.0%).
- Quarterly Selling, General & Administrative has moved between $8.62 million (Q4 2024) and $24.92 million (Q4 2021) over five years.
- Compared with a year earlier, Selling, General & Administrative was higher in four of the last eight quarters, with an average decline of 3.3%.
- The best year-over-year quarter for Selling, General & Administrative over five years was Q4 2021 (growth of 187.9%); the worst was Q4 2022 (a decline of 47.2%).
- Per Business Quant data, EXFY's Selling, General & Administrative in the three quarters before Q2 2026 was $9.12 million (Q1 2026), $12.07 million (Q4 2025) and $9.81 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 406.36 Bn | 371.19 Bn | 1.93 Bn | 228.85 Mn |
| 2 | Oracle | 350.97 Bn | 223.10 Bn | - | 376.00 Mn |
| 3 | Sap Se | 276.32 Bn | 203.72 Bn | 8.64 Bn | 473.98 Mn |
| 4 | Salesforce | 175.73 Bn | 131.60 Bn | 8.70 Bn | 725.00 Mn |
| 5 | Automatic Data Processing | 121.62 Bn | 108.41 Bn | 2.53 Bn | 1.06 Bn |
| 6 | ServiceNow | 107.21 Bn | 86.47 Bn | 2.90 Bn | 283.00 Mn |
| 7 | Intuit | 93.23 Bn | 72.58 Bn | 3.44 Bn | 391.00 Mn |
| 8 | Relx | 73.21 Bn | 72.30 Bn | - | - |
| 9 | Strategy | 50.23 Bn | 37.36 Bn | 89.63 Mn | 35.91 Mn |
| 10 | Expensify | 171.62 Mn | -87.50 Mn | 14.93 Mn | 8.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 8.30 Mn |
| Jun 30, 2026 | 9.59 Mn |
| Mar 31, 2026 | 9.12 Mn |
| Dec 31, 2025 | 12.07 Mn |
| Sep 30, 2025 | 9.81 Mn |
| Jun 30, 2025 | 9.41 Mn |
| Mar 31, 2025 | 10.83 Mn |
| Dec 31, 2024 | 8.62 Mn |
| Sep 30, 2024 | 9.08 Mn |
| Jun 30, 2024 | 9.25 Mn |
| Mar 31, 2024 | 11.43 Mn |
| Dec 31, 2023 | 10.84 Mn |
| Sep 30, 2023 | 14.25 Mn |
| Jun 30, 2023 | 11.71 Mn |
| Mar 31, 2023 | 12.43 Mn |
| Dec 31, 2022 | 13.16 Mn |
| Sep 30, 2022 | 15.90 Mn |
| Jun 30, 2022 | 15.43 Mn |
| Mar 31, 2022 | 14.01 Mn |
| Dec 31, 2021 | 24.92 Mn |
API Access
Expensify Selling, General & Administrative 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=selling-general-and-administrative&ticker=EXFY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=EXFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();