Expensify (EXFY) Tax Provisions (2020 - 2026)
Expensify (EXFY) recorded Tax Provisions of $1.13 million in Q2 2026, compared with -$700,000 a year earlier and up 111.2% from the prior quarter.
Expensify (EXFY) Tax Provisions (2020 - 2026) Analysis & Trends
On a TTM basis, Expensify's Tax Provisions came in at $5.46 million as of Jun 30, 2026, up 4.2% year-over-year; for FY2025, it came in at $5.1 million, down 33.5% from FY2024.
- Annual Tax Provisions has a five-year compound annual growth rate of 1.8% (FY2020 to FY2025).
- Across earlier years, Tax Provisions came in at $7.66 million in FY2024 (+157.1%), $2.98 million in FY2023 (-53.2%), $6.37 million in FY2022 and -$174,000 in FY2021.
- Quarterly Tax Provisions has ranged from -$3.6 million in Q3 2021 to $3.6 million in Q4 2025 over the past five years.
- On a year-over-year basis, Tax Provisions rose in three of the last five quarters, with growth averaging 27.3%.
- Peak year-over-year performance for Tax Provisions in the last five years was growth of 580.8% in Q2 2024, against a decline of 92.6% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $536,000 (Q1 2026), $3.6 million (Q4 2025) and $200,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 409.02 Bn | 373.85 Bn | 1.93 Bn | 13.56 Mn |
| 2 | Oracle | 353.13 Bn | 225.26 Bn | - | 847.00 Mn |
| 3 | Sap Se | 276.84 Bn | 204.24 Bn | 8.64 Bn | -844.41 Mn |
| 4 | Salesforce | 176.39 Bn | 132.26 Bn | 8.70 Bn | 1.03 Bn |
| 5 | Automatic Data Processing | 121.30 Bn | 108.10 Bn | 2.53 Bn | 329.70 Mn |
| 6 | ServiceNow | 107.32 Bn | 86.59 Bn | 2.90 Bn | 93.00 Mn |
| 7 | Intuit | 93.19 Bn | 72.54 Bn | 3.44 Bn | 177.00 Mn |
| 8 | Relx | 73.35 Bn | 72.44 Bn | - | - |
| 9 | Strategy | 50.90 Bn | 38.04 Bn | 89.63 Mn | 1.41 Bn |
| 10 | Expensify | 172.99 Mn | -86.12 Mn | 14.93 Mn | 1.03 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.03 Mn |
| Jun 30, 2026 | 1.13 Mn |
| Mar 31, 2026 | 536,000.00 |
| Dec 31, 2025 | 3.60 Mn |
| Sep 30, 2025 | 200,000.00 |
| Jun 30, 2025 | -700,000.00 |
| Mar 31, 2025 | 2.01 Mn |
| Dec 31, 2024 | 1.24 Mn |
| Sep 30, 2024 | 2.70 Mn |
| Jun 30, 2024 | 2.72 Mn |
| Mar 31, 2024 | 1.03 Mn |
| Dec 31, 2023 | 1.05 Mn |
| Sep 30, 2023 | -300,000.00 |
| Jun 30, 2023 | 400,000.00 |
| Mar 31, 2023 | 1.83 Mn |
| Dec 31, 2022 | 2.47 Mn |
| Sep 30, 2022 | 200,000.00 |
| Jun 30, 2022 | 2.10 Mn |
| Mar 31, 2022 | 1.63 Mn |
| Dec 31, 2021 | 532,000.00 |
Expensify Tax Provisions 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=tax-provisions&ticker=EXFY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=EXFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();