Expensify (EXFY) Total Non-Current Liabilities (2020 - 2026)
Expensify's Total Non-Current Liabilities was $48.85 million in Q2 2026, down 9.2% from $53.8 million a year earlier and down 2.8% from the prior quarter.
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Analysis
Expensify (EXFY) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Expensify came in at $51.47 million, up 17.6% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of -15.3% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $43.75 million in FY2024 (-41.2%), $74.36 million in FY2023 (-33.5%), $111.8 million in FY2022 (+5.0%) and $106.45 million in FY2021 (-9.7%).
- The Q2 2026 figure marks the lowest quarterly Total Non-Current Liabilities since Q4 2024.
- Compared with a year earlier, Total Non-Current Liabilities was higher in 1 of the last eight quarters, with an average decline of 20.0%.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q4 2025 (growth of 17.6%); the worst was Q3 2024 (a decline of 53.2%).
- Per Business Quant data, EXFY's Total Non-Current Liabilities in the three quarters before Q2 2026 was $50.25 million (Q1 2026), $51.47 million (Q4 2025) and $49.6 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 449.46 Bn | 418.52 Bn | 1.64 Bn | 1.78 Bn |
| 2 | Oracle | 415.29 Bn | 287.84 Bn | - | 188.55 Bn |
| 3 | Sap Se | 256.30 Bn | 177.39 Bn | 8.40 Bn | 12.35 Bn |
| 4 | Salesforce | 188.94 Bn | 144.82 Bn | 8.70 Bn | 67.55 Bn |
| 5 | ServiceNow | 138.57 Bn | 117.03 Bn | 2.82 Bn | 18.55 Bn |
| 6 | Automatic Data Processing | 102.66 Bn | 84.78 Bn | 2.51 Bn | 56.02 Bn |
| 7 | Intuit | 74.00 Bn | 53.35 Bn | 3.44 Bn | 17.49 Bn |
| 8 | Relx | 60.34 Bn | 57.31 Bn | - | 1.34 Mn |
| 9 | Strategy | 53.88 Bn | 46.87 Bn | 81.55 Mn | 21.67 Bn |
| 10 | Expensify | 206.77 Mn | -50.05 Mn | 16.33 Mn | 48.85 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 48.85 Mn |
| Mar 31, 2026 | 50.25 Mn |
| Dec 31, 2025 | 51.47 Mn |
| Sep 30, 2025 | 49.60 Mn |
| Jun 30, 2025 | 53.80 Mn |
| Mar 31, 2025 | 52.82 Mn |
| Dec 31, 2024 | 43.75 Mn |
| Sep 30, 2024 | 54.27 Mn |
| Jun 30, 2024 | 76.92 Mn |
| Mar 31, 2024 | 76.47 Mn |
| Dec 31, 2023 | 74.36 Mn |
| Sep 30, 2023 | 115.85 Mn |
| Jun 30, 2023 | 111.08 Mn |
| Mar 31, 2023 | 113.30 Mn |
| Dec 31, 2022 | 111.80 Mn |
| Sep 30, 2022 | 114.73 Mn |
| Jun 30, 2022 | 121.56 Mn |
| Mar 31, 2022 | 113.32 Mn |
| Dec 31, 2021 | 106.45 Mn |
| Sep 30, 2021 | 166.60 Mn |
API Access
Expensify Total Non-Current 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-non-current-liabilities&ticker=EXFY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=EXFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();