Onfolio Holdings (ONFO) Operating Expenses (2021 - 2026)
Onfolio Holdings (ONFO) reported Operating Expenses of $1.7 million for Q2 2026, down 30.6% from $2.44 million a year earlier and down 3.1% from the prior quarter.
Onfolio Holdings (ONFO) Operating Expenses (2021 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Onfolio Holdings' Operating Expenses came in at $7.7 million, down 14.0% year-over-year; for FY2025, it was $9.19 million, up 30.3% from FY2024.
- Operating Expenses has a four-year compound annual growth rate of 36.0% (FY2021 to FY2025).
- By year, Operating Expenses came in at $7.05 million in FY2024 (-43.5%), $12.49 million in FY2023 (+135.2%), $5.31 million in FY2022 (+97.6%) and $2.69 million in FY2021.
- The Q2 2026 figure ranks as the lowest quarterly Operating Expenses since Q3 2024.
- Year over year, Operating Expenses has now declined in each of the last three quarters, with growth averaging 0.9% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q3 2023 (growth of 397.3%); the low point was Q3 2024 (a decline of 72.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.75 million (Q1 2026), $2.21 million (Q4 2025) and $2.04 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 726.59 Mn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 12.62 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | -8.41 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 6.37 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 2.66 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 4.34 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 3.88 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 8.41 Bn |
| 10 | Onfolio Holdings | 217,401.75 | -2.16 Mn | 732,003.00 | 1.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.70 Mn |
| Mar 31, 2026 | 1.75 Mn |
| Dec 31, 2025 | 2.21 Mn |
| Sep 30, 2025 | 2.04 Mn |
| Jun 30, 2025 | 2.44 Mn |
| Mar 31, 2025 | 2.49 Mn |
| Dec 31, 2024 | 2.47 Mn |
| Sep 30, 2024 | 1.54 Mn |
| Jun 30, 2024 | 1.58 Mn |
| Mar 31, 2024 | 1.46 Mn |
| Dec 31, 2023 | 2.68 Mn |
| Sep 30, 2023 | 5.59 Mn |
| Jun 30, 2023 | 2.12 Mn |
| Mar 31, 2023 | 2.09 Mn |
| Dec 31, 2022 | 1.91 Mn |
| Sep 30, 2022 | 1.12 Mn |
| Jun 30, 2022 | 1.36 Mn |
| Mar 31, 2022 | 918,083.00 |
| Dec 31, 2021 | 958,885.00 |
| Sep 30, 2021 | 717,302.00 |
Onfolio Holdings Operating Expenses 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=operating-expenses&ticker=ONFO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ONFO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=ONFO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();