Fenbo Holdings (FEBO) Accumulated Expenses (2022 - 2025)
Fenbo Holdings' Accumulated Expenses was $882,035 in the quarter ended Dec 31, 2025, up 8.6% from $812,047 a year earlier.
Powered by 
Analysis
Fenbo Holdings (FEBO) Accumulated Expenses (2022 - 2025) Analysis & Trends
As of Dec 31, 2025, Accumulated Expenses at Fenbo Holdings came in at $879,000, up 8.1% from the prior year.
- Accumulated Expenses shows a three-year compound annual growth rate of 5.8% (years ended Dec 2022 to Dec 2025).
- In earlier years, Accumulated Expenses was $813,000 in the year ended Dec 31, 2024 (-10.1%), $904,000 in the year ended Dec 31, 2023 (+21.9%) and $741,334 in the year ended Dec 31, 2022.
- The figure for the quarter ended Dec 31, 2025 marks the highest quarterly Accumulated Expenses since the quarter ended Dec 31, 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | SharkNinja | 25.37 Bn | 23.04 Bn | 860.34 Mn |
| 2 | Somnigroup International | 13.07 Bn | 12.62 Bn | 817.20 Mn |
| 3 | Hni | 3.27 Bn | 2.84 Bn | 647.20 Mn |
| 4 | Newell Brands | 2.25 Bn | 1.41 Bn | 812.00 Mn |
| 5 | Sonos | 2.12 Bn | 1.02 Bn | 189.31 Mn |
| 6 | Whirlpool | 1.99 Bn | -1.49 Bn | 442.00 Mn |
| 7 | Corsair Gaming | 1.46 Bn | 1.00 Bn | 104.29 Mn |
| 8 | Millerknoll | 1.35 Bn | 714.71 Mn | 385.30 Mn |
| 9 | Arhaus | 1.34 Bn | 420.59 Mn | 172.07 Mn |
| 10 | Fenbo Holdings | 7.41 Mn | -5.51 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 882,034.89 |
| Jun 30, 2025 | 711,000.00 |
| Dec 31, 2024 | 812,047.11 |
| Jun 30, 2024 | 355,000.00 |
| Dec 31, 2023 | 902,134.68 |
| Dec 31, 2022 | 741,333.52 |
API Access
Fenbo Holdings 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=FEBO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "FEBO", "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=FEBO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();