Expensify (EXFY) Property, Plant & Equipment (Net) (2020 - 2026)
Expensify's Property, Plant & Equipment (Net) was $12.71 million in Q2 2026, down 4.9% from $13.36 million a year earlier and down 1.2% from the prior quarter.
Powered by 
Analysis
Expensify (EXFY) Property, Plant & Equipment (Net) (2020 - 2026) Analysis & Trends
At the end of FY2025, Property, Plant & Equipment (Net) at Expensify came in at $13.02 million, down 4.4% from FY2024.
- Property, Plant & Equipment (Net) has now declined for four consecutive years, with a five-year compound annual growth rate of -3.3% (FY2020 to FY2025).
- In earlier years, Property, Plant & Equipment (Net) was $13.62 million in FY2024 (-5.2%), $14.37 million in FY2023 (-0.8%), $14.49 million in FY2022 (-9.0%) and $15.93 million in FY2021 (+3.7%).
- The Q2 2026 figure marks the lowest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2020.
- Compared with a year earlier, Property, Plant & Equipment (Net) has declined for nine straight quarters, with an average decline of 4.7% over the last eight quarters.
- The best year-over-year quarter for Property, Plant & Equipment (Net) over five years was Q4 2021 (growth of 3.7%); the worst was Q1 2023 (a decline of 10.0%).
- Per Business Quant data, EXFY's Property, Plant & Equipment (Net) in the three quarters before Q2 2026 was $12.86 million (Q1 2026), $13.02 million (Q4 2025) and $13.2 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 453.55 Bn | 422.61 Bn | 1.64 Bn | 61.40 Mn |
| 2 | Oracle | 430.98 Bn | 303.54 Bn | - | 127.85 Bn |
| 3 | Sap Se | 256.23 Bn | 177.31 Bn | 8.40 Bn | - |
| 4 | Salesforce | 193.08 Bn | 148.96 Bn | 8.70 Bn | 3.04 Bn |
| 5 | ServiceNow | 138.94 Bn | 117.40 Bn | 2.82 Bn | 2.18 Bn |
| 6 | Automatic Data Processing | 102.51 Bn | 84.63 Bn | 2.51 Bn | 641.30 Mn |
| 7 | Intuit | 75.44 Bn | 54.79 Bn | 3.44 Bn | 1.02 Bn |
| 8 | Relx | 60.79 Bn | 57.76 Bn | - | 97.94 Mn |
| 9 | Strategy | 56.32 Bn | 49.31 Bn | 81.55 Mn | 28.34 Mn |
| 10 | Expensify | 206.77 Mn | -50.05 Mn | 16.33 Mn | 12.71 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.71 Mn |
| Mar 31, 2026 | 12.86 Mn |
| Dec 31, 2025 | 13.02 Mn |
| Sep 30, 2025 | 13.20 Mn |
| Jun 30, 2025 | 13.36 Mn |
| Mar 31, 2025 | 13.48 Mn |
| Dec 31, 2024 | 13.62 Mn |
| Sep 30, 2024 | 13.76 Mn |
| Jun 30, 2024 | 13.91 Mn |
| Mar 31, 2024 | 14.14 Mn |
| Dec 31, 2023 | 14.37 Mn |
| Sep 30, 2023 | 14.60 Mn |
| Jun 30, 2023 | 14.55 Mn |
| Mar 31, 2023 | 14.02 Mn |
| Dec 31, 2022 | 14.49 Mn |
| Sep 30, 2022 | 14.87 Mn |
| Jun 30, 2022 | 15.17 Mn |
| Mar 31, 2022 | 15.58 Mn |
| Dec 31, 2021 | 15.93 Mn |
| Sep 30, 2021 | 16.34 Mn |
API Access
Expensify Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=EXFY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=EXFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();