Expensify (EXFY) Depreciation & Amortization (CF) (2020 - 2026)
Expensify (EXFY) recorded Depreciation & Amortization (CF) of $2.34 million in Q2 2026, up 13.8% from $2.06 million a year earlier and up 3.8% from the prior quarter.
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Analysis
Expensify (EXFY) Depreciation & Amortization (CF) (2020 - 2026) Analysis & Trends
On a TTM basis, Expensify's Depreciation & Amortization (CF) came in at $9.02 million as of Jun 30, 2026, up 15.6% year-over-year; for FY2025, it was $8.46 million, up 24.2% from FY2024.
- Annual Depreciation & Amortization (CF) has a five-year compound annual growth rate of 21.1% (FY2020 to FY2025).
- Across earlier years, Depreciation & Amortization (CF) came in at $6.81 million in FY2024 (+32.0%), $5.16 million in FY2023 (-4.2%), $5.39 million in FY2022 (+3.7%) and $5.2 million in FY2021 (+60.0%).
- The Q2 2026 figure is the highest quarterly Depreciation & Amortization (CF) in data going back to Q3 2020.
- On a year-over-year basis, Depreciation & Amortization (CF) has increased for ten consecutive quarters, with growth averaging 30.8% over the last eight quarters.
- Peak year-over-year performance for Depreciation & Amortization (CF) in the last five years was growth of 406.3% in Q3 2021, against a decline of 19.1% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $2.26 million (Q1 2026), $2.28 million (Q4 2025) and $2.14 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 456.65 Bn | 425.71 Bn | 1.64 Bn | 8.22 Mn |
| 2 | Oracle | 417.55 Bn | 290.11 Bn | - | 3.20 Bn |
| 3 | Sap Se | 259.04 Bn | 180.13 Bn | 8.40 Bn | 367.31 Mn |
| 4 | Salesforce | 194.78 Bn | 150.65 Bn | 8.70 Bn | 966.00 Mn |
| 5 | ServiceNow | 142.47 Bn | 120.93 Bn | 2.82 Bn | 407.00 Mn |
| 6 | Automatic Data Processing | 105.00 Bn | 87.13 Bn | 2.51 Bn | 147.20 Mn |
| 7 | Intuit | 75.89 Bn | 55.24 Bn | 3.44 Bn | 54.00 Mn |
| 8 | Relx | 60.92 Bn | 57.89 Bn | - | - |
| 9 | Strategy | 56.49 Bn | 49.48 Bn | 81.55 Mn | 12.36 Mn |
| 10 | Expensify | 217.80 Mn | -39.02 Mn | 16.33 Mn | 2.34 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.34 Mn |
| Mar 31, 2026 | 2.26 Mn |
| Dec 31, 2025 | 2.28 Mn |
| Sep 30, 2025 | 2.14 Mn |
| Jun 30, 2025 | 2.06 Mn |
| Mar 31, 2025 | 1.98 Mn |
| Dec 31, 2024 | 1.96 Mn |
| Sep 30, 2024 | 1.80 Mn |
| Jun 30, 2024 | 1.63 Mn |
| Mar 31, 2024 | 1.42 Mn |
| Dec 31, 2023 | 1.29 Mn |
| Sep 30, 2023 | 1.08 Mn |
| Jun 30, 2023 | 1.38 Mn |
| Mar 31, 2023 | 1.41 Mn |
| Dec 31, 2022 | 1.32 Mn |
| Sep 30, 2022 | 1.34 Mn |
| Jun 30, 2022 | 1.57 Mn |
| Mar 31, 2022 | 1.17 Mn |
| Dec 31, 2021 | 1.47 Mn |
| Sep 30, 2021 | 1.44 Mn |
API Access
Expensify Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=EXFY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=EXFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();