Expensify (EXFY) Asset Writedowns and Impairment (2020 - 2026)
Expensify (EXFY) posted Asset Writedowns and Impairment of $135,000 for Q2 2026, down 4.3% from $141,000 a year earlier and down 1.5% from the prior quarter.
Expensify (EXFY) Asset Writedowns and Impairment (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Asset Writedowns and Impairment at Expensify was $568,000, up 2.7% year-over-year; for FY2025, it was $575,000, up 5.1% from FY2024.
- Annual Asset Writedowns and Impairment shows a five-year compound annual growth rate of -15.2% (FY2020 to FY2025).
- In prior years, Expensify's Asset Writedowns and Impairment was $547,000 in FY2024 (-10.9%), $614,000 in FY2023 (-7.8%), $666,000 in FY2022 (-10.1%) and $741,000 in FY2021 (-43.5%).
- Quarterly Asset Writedowns and Impairment has run from a low of $135,000 in Q4 2022 to a high of $189,000 in Q4 2021 over five years.
- On a year-over-year basis, Asset Writedowns and Impairment increased in four of the last eight quarters, with growth averaging 1.4%.
- The strongest year-over-year quarter for Asset Writedowns and Impairment in the past five years was Q4 2025, with growth of 8.8%; the weakest was Q4 2022, with a decline of 28.6%.
- According to Business Quant data, Asset Writedowns and Impairment for the three prior quarters was $137,000 (Q1 2026), $148,000 (Q4 2025) and $148,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 453.55 Bn | 422.61 Bn | 1.64 Bn |
| 2 | Oracle | 430.98 Bn | 303.54 Bn | - |
| 3 | Sap Se | 256.23 Bn | 177.31 Bn | 8.40 Bn |
| 4 | Salesforce | 193.08 Bn | 148.96 Bn | 8.70 Bn |
| 5 | ServiceNow | 138.94 Bn | 117.40 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 102.51 Bn | 84.63 Bn | 2.51 Bn |
| 7 | Intuit | 75.44 Bn | 54.79 Bn | 3.44 Bn |
| 8 | Relx | 60.79 Bn | 57.76 Bn | - |
| 9 | Strategy | 56.32 Bn | 49.31 Bn | 81.55 Mn |
| 10 | Expensify | 206.77 Mn | -50.05 Mn | 16.33 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 135,000.00 |
| Mar 31, 2026 | 137,000.00 |
| Dec 31, 2025 | 148,000.00 |
| Sep 30, 2025 | 148,000.00 |
| Jun 30, 2025 | 141,000.00 |
| Mar 31, 2025 | 138,000.00 |
| Dec 31, 2024 | 136,000.00 |
| Sep 30, 2024 | 138,000.00 |
| Jun 30, 2024 | 137,000.00 |
| Mar 31, 2024 | 136,000.00 |
| Dec 31, 2023 | 138,000.00 |
| Sep 30, 2023 | 142,000.00 |
| Jun 30, 2023 | 153,000.00 |
| Mar 31, 2023 | 181,000.00 |
| Dec 31, 2022 | 135,000.00 |
| Sep 30, 2022 | 173,000.00 |
| Jun 30, 2022 | 173,000.00 |
| Mar 31, 2022 | 185,000.00 |
| Dec 31, 2021 | 189,000.00 |
| Sep 30, 2021 | 187,000.00 |
Expensify Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=EXFY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=EXFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();