Ohmyhome (OMH) Other Accumulated Expenses (2021 - 2026)
Ohmyhome's Other Accumulated Expenses came in at -$4.46 million for Q2 2026, compared with -$3.9 million a year earlier.
Analysis
Ohmyhome (OMH) Other Accumulated Expenses (2021 - 2026) Analysis & Trends
At the end of FY2025, Ohmyhome's Other Accumulated Expenses was $3.4 million, up 291.7% from FY2024.
- Other Accumulated Expenses carries a four-year compound annual growth rate of 125.4% (FY2021 to FY2025).
- Going back by year, Other Accumulated Expenses was $867,675 in FY2024 (+264.6%), $237,958 in FY2023 (-85.7%), $1.66 million in FY2022 and $131,732 in FY2021.
- The Q2 2026 figure represents the lowest quarterly Other Accumulated Expenses in data going back to Q4 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Cbre | 37.56 Bn | 31.32 Bn | 2.09 Bn |
| 2 | KE Holdings | 36.95 Bn | 17.65 Bn | 1.03 Bn |
| 3 | Jones Lang Lasalle | 14.12 Bn | 12.33 Bn | - |
| 4 | Compass | 6.95 Bn | 5.41 Bn | - |
| 5 | Colliers International | 4.59 Bn | 3.66 Bn | 635.11 Mn |
| 6 | Cushman & Wakefield | 2.80 Bn | 278.27 Mn | 512.00 Mn |
| 7 | Newmark | 2.01 Bn | 1.39 Bn | - |
| 8 | Marcus & Millichap | 1.08 Bn | 178.91 Mn | - |
| 9 | Agnt | 609.98 Mn | 139.66 Mn | 98.80 Mn |
| 10 | Ohmyhome | 1.22 Mn | -10.81 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -4.46 Mn |
| Dec 31, 2025 | 424,009.87 |
| Jun 30, 2025 | -3.90 Mn |
| Dec 31, 2024 | 871,345.74 |
| Jun 30, 2024 | 1.16 Mn |
| Dec 31, 2023 | 236,640.87 |
| Dec 31, 2022 | 1.65 Mn |
| Dec 31, 2021 | 131,732.00 |
API Access
Ohmyhome Other Accumulated 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=other-accumulated-expenses&ticker=OMH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "OMH", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-accumulated-expenses&ticker=OMH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();