Ohmyhome (OMH) Accumulated Expenses (2021 - 2026)
Ohmyhome's Accumulated Expenses came in at $59,809 for Q2 2026, down 98.2% from $3.31 million a year earlier.
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Analysis
Ohmyhome (OMH) Accumulated Expenses (2021 - 2026) Analysis & Trends
At the end of FY2025, Ohmyhome's Accumulated Expenses was $3.31 million, up 242.7% from FY2024.
- Accumulated Expenses carries a four-year compound annual growth rate of 97.6% (FY2021 to FY2025).
- Going back by year, Accumulated Expenses was $966,262 in FY2024 (-7.8%), $1.05 million in FY2023 (+530.2%), $166,308 in FY2022 (-23.5%) and $217,298 in FY2021.
- The Q2 2026 figure represents the lowest quarterly Accumulated Expenses in data going back to Q4 2021.
- Year-over-year, Accumulated Expenses increased in 1 of the last four quarters, with an average decline of 24.1%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | KE Holdings | 37.89 Bn | 18.60 Bn | 1.03 Bn |
| 2 | Cbre | 37.24 Bn | 31.01 Bn | 2.09 Bn |
| 3 | Jones Lang Lasalle | 14.06 Bn | 12.27 Bn | - |
| 4 | Compass | 6.70 Bn | 5.16 Bn | - |
| 5 | Colliers International | 4.59 Bn | 3.66 Bn | 635.11 Mn |
| 6 | Cushman & Wakefield | 2.77 Bn | 247.78 Mn | 512.00 Mn |
| 7 | Newmark | 1.95 Bn | 1.33 Bn | - |
| 8 | Marcus & Millichap | 1.08 Bn | 173.61 Mn | - |
| 9 | Agnt | 613.32 Mn | 143.01 Mn | 98.80 Mn |
| 10 | Ohmyhome | 1.19 Mn | -10.85 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 59,809.00 |
| Dec 31, 2025 | 155,664.31 |
| Jun 30, 2025 | 3.31 Mn |
| Dec 31, 2024 | 970,349.43 |
| Jun 30, 2024 | 1.72 Mn |
| Dec 31, 2023 | 1.04 Mn |
| Jun 30, 2023 | 232,740.53 |
| Dec 31, 2022 | 165,149.20 |
| Dec 31, 2021 | 209,751.77 |
API Access
Ohmyhome 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=accumulated-expenses&ticker=OMH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=accumulated-expenses&ticker=OMH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();