Expensify (EXFY) Return on Capital Employed [ROCE] (2021 - 2026)
Expensify's Return on Capital Employed [ROCE] was -7.70% in Q2 2026, up 0.22 percentage points from -7.92% a year earlier and up 5.24 percentage points from the prior quarter.
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Analysis
Expensify (EXFY) Return on Capital Employed [ROCE] (2021 - 2026) Analysis & Trends
For FY2025, Return on Capital Employed [ROCE] at Expensify came in at -13.50%, down 12.91 percentage points from FY2024.
- Return on Capital Employed [ROCE] shows a four-year change of -0.99 percentage points (FY2021 to FY2025).
- In earlier years, Return on Capital Employed [ROCE] was -0.60% in FY2024 (+25.79 pp), -26.39% in FY2023 (-15.22 pp), -11.17% in FY2022 (+1.35 pp) and -12.52% in FY2021.
- The Q2 2026 figure marks the highest quarterly Return on Capital Employed [ROCE] since Q1 2025.
- Compared with a year earlier, Return on Capital Employed [ROCE] was higher in five of the last eight quarters, with an average year-over-year change of +6.43 percentage points.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was Q1 2025 (a gain of 28.80 percentage points); the worst was Q1 2024 (a drop of 20.56 percentage points).
- Per Business Quant data, EXFY's Return on Capital Employed [ROCE] in the three quarters before Q2 2026 was -12.94% (Q1 2026), -12.87% (Q4 2025) and -9.55% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 407.96 Bn | 372.79 Bn | 1.93 Bn | 30.95% |
| 2 | Oracle | 352.42 Bn | 224.55 Bn | - | 9.81% |
| 3 | Sap Se | 276.89 Bn | 204.29 Bn | 8.64 Bn | 34.05% |
| 4 | Salesforce | 176.49 Bn | 132.36 Bn | 8.70 Bn | 10.68% |
| 5 | Automatic Data Processing | 121.63 Bn | 108.43 Bn | 2.53 Bn | -53.96% |
| 6 | ServiceNow | 107.67 Bn | 86.93 Bn | 2.90 Bn | 7.48% |
| 7 | Intuit | 93.37 Bn | 72.72 Bn | 3.44 Bn | 21.09% |
| 8 | Relx | 73.28 Bn | 72.37 Bn | - | - |
| 9 | Strategy | 50.66 Bn | 37.80 Bn | 89.63 Mn | -30.53% |
| 10 | Expensify | 169.79 Mn | -89.33 Mn | 14.93 Mn | -8.08% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -8.08% |
| Jun 30, 2026 | -7.70% |
| Mar 31, 2026 | -12.94% |
| Dec 31, 2025 | -12.87% |
| Sep 30, 2025 | -9.55% |
| Jun 30, 2025 | -7.92% |
| Mar 31, 2025 | -0.38% |
| Dec 31, 2024 | -0.60% |
| Sep 30, 2024 | -5.34% |
| Jun 30, 2024 | -19.03% |
| Mar 31, 2024 | -29.19% |
| Dec 31, 2023 | -26.17% |
| Sep 30, 2023 | -20.11% |
| Jun 30, 2023 | -12.20% |
| Mar 31, 2023 | -8.62% |
| Dec 31, 2022 | -10.11% |
| Sep 30, 2022 | -23.25% |
| Jun 30, 2022 | -27.75% |
| Mar 31, 2022 | -20.50% |
| Dec 31, 2021 | -9.07% |
API Access
Expensify Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=EXFY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=EXFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();