Expensify (EXFY) Total Liabilities (2020 - 2026)
Expensify (EXFY) recorded Total Liabilities of $50.84 million in Q2 2026, down 8.1% from $55.32 million a year earlier and down 2.4% from the prior quarter.
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Analysis
Expensify (EXFY) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Expensify reported Total Liabilities of $53.24 million, up 17.2% from FY2024.
- Annual Total Liabilities has a five-year compound annual growth rate of -14.8% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $45.44 million in FY2024 (-40.2%), $76.04 million in FY2023 (-32.7%), $113 million in FY2022 (+6.0%) and $106.6 million in FY2021 (-10.2%).
- The Q2 2026 figure is the lowest quarterly Total Liabilities since Q4 2024.
- On a year-over-year basis, Total Liabilities rose in 1 of the last eight quarters, with an average decline of 19.6%.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 17.2% in Q4 2025, against a decline of 52.0% in Q3 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $52.07 million (Q1 2026), $53.24 million (Q4 2025) and $51.18 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 1.79 Bn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 236.06 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 35.29 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 71.24 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 19.15 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 57.16 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 17.79 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | 18.48 Bn |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 21.68 Bn |
| 10 | Expensify | 197.58 Mn | -59.24 Mn | 16.33 Mn | 50.84 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 50.84 Mn |
| Mar 31, 2026 | 52.07 Mn |
| Dec 31, 2025 | 53.24 Mn |
| Sep 30, 2025 | 51.18 Mn |
| Jun 30, 2025 | 55.32 Mn |
| Mar 31, 2025 | 54.59 Mn |
| Dec 31, 2024 | 45.44 Mn |
| Sep 30, 2024 | 56.31 Mn |
| Jun 30, 2024 | 78.87 Mn |
| Mar 31, 2024 | 78.26 Mn |
| Dec 31, 2023 | 76.04 Mn |
| Sep 30, 2023 | 117.26 Mn |
| Jun 30, 2023 | 112.52 Mn |
| Mar 31, 2023 | 114.57 Mn |
| Dec 31, 2022 | 113.00 Mn |
| Sep 30, 2022 | 115.88 Mn |
| Jun 30, 2022 | 122.68 Mn |
| Mar 31, 2022 | 114.35 Mn |
| Dec 31, 2021 | 106.60 Mn |
| Sep 30, 2021 | 167.00 Mn |
API Access
Expensify Total Liabilities 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=total-liabilities&ticker=EXFY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=EXFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();