Expensify (EXFY) Depreciation and Depletion (2020 - 2026)
Expensify (EXFY) reported Depreciation and Depletion of $200,000 for Q2 2026, up 100.0% from $100,000 a year earlier and unchanged from the prior quarter.
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Analysis
Expensify (EXFY) Depreciation and Depletion (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Expensify's Depreciation and Depletion came in at $800,000, up 60.0% year-over-year; for FY2025, it came in at $600,000, down 25.0% from FY2024.
- Depreciation and Depletion has declined for four consecutive years, with a five-year compound annual growth rate of -15.6% (FY2020 to FY2025).
- By year, Depreciation and Depletion came in at $800,000 in FY2024 (-42.9%), $1.4 million in FY2023 (-30.0%), $2 million in FY2022 (-4.8%) and $2.1 million in FY2021 (+50.0%).
- Five-year quarterly Depreciation and Depletion spans a low of $100,000 in Q3 2024 and a high of $500,000 in Q1 2023.
- Year over year, Depreciation and Depletion gained in three of the last eight quarters, with growth averaging 14.6%.
- The high point for year-over-year Depreciation and Depletion in five years was Q2 2026 (growth of 100.0%); the low point was Q3 2023 (a decline of 60.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $200,000 (Q1 2026), $200,000 (Q4 2025) and $200,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 453.55 Bn | 422.61 Bn | 1.64 Bn | - |
| 2 | Oracle | 430.98 Bn | 303.54 Bn | - | 3.20 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 | 155.00 Mn |
| 6 | Automatic Data Processing | 102.51 Bn | 84.63 Bn | 2.51 Bn | - |
| 7 | Intuit | 75.44 Bn | 54.79 Bn | 3.44 Bn | 54.00 Mn |
| 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 | 200,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 200,000.00 |
| Mar 31, 2026 | 200,000.00 |
| Dec 31, 2025 | 200,000.00 |
| Sep 30, 2025 | 200,000.00 |
| Jun 30, 2025 | 100,000.00 |
| Mar 31, 2025 | 100,000.00 |
| Dec 31, 2024 | 200,000.00 |
| Sep 30, 2024 | 100,000.00 |
| Jun 30, 2024 | 200,000.00 |
| Mar 31, 2024 | 200,000.00 |
| Dec 31, 2023 | 300,000.00 |
| Sep 30, 2023 | 200,000.00 |
| Jun 30, 2023 | 400,000.00 |
| Mar 31, 2023 | 500,000.00 |
| Dec 31, 2022 | 500,000.00 |
| Sep 30, 2022 | 500,000.00 |
| Jun 30, 2022 | 500,000.00 |
| Mar 31, 2022 | 500,000.00 |
| Dec 31, 2021 | 500,000.00 |
| Sep 30, 2021 | 500,000.00 |
API Access
Expensify Depreciation and Depletion 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-depletion&ticker=EXFY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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-depletion&ticker=EXFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();