J & Friends Holdings (JF) Operating Expenses (2017 - 2022)
J & Friends Holdings' Operating Expenses was -$2.48 million in the year ended Dec 31, 2025, compared with -$294,000 a year earlier.
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Analysis
J & Friends Holdings (JF) Operating Expenses (2017 - 2022) Analysis & Trends
From the year ended Dec 31, 2016 onward, J & Friends Holdings has reported Operating Expenses for 10 years.
- The figure for the year ended Dec 31, 2025 marks the lowest annual Operating Expenses since the year ended Dec 23, 2022.
- Per Business Quant data, Operating Expenses in earlier years was -$294,000 in the year ended Dec 31, 2024, $300,000 in the year ended Dec 31, 2023, -$6.56 million in the year ended Dec 23, 2022 and -$24.3 million in the year ended Dec 31, 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 178,646.00 |
| 2 | Veeva Systems | 51.55 Bn | 23.79 Bn | 695.95 Mn | 420.93 Mn |
| 3 | Samsara | 24.79 Bn | 21.56 Bn | 392.58 Mn | 387.71 Mn |
| 4 | Ptc | 22.17 Bn | 20.99 Bn | 490.47 Mn | 323.96 Mn |
| 5 | Toast | 18.88 Bn | 11.55 Bn | 516.00 Mn | 364.00 Mn |
| 6 | Trimble | 14.47 Bn | 13.54 Bn | 674.90 Mn | 542.90 Mn |
| 7 | Manhattan Associates | 13.68 Bn | 12.67 Bn | 168.33 Mn | 231.56 Mn |
| 8 | Costar | 13.35 Bn | 7.30 Bn | 728.00 Mn | 652.00 Mn |
| 9 | Bentley Systems | 11.88 Bn | 11.34 Bn | 336.74 Mn | 248.13 Mn |
| 10 | J & Friends Holdings | 15.30 Mn | -204,583.58 | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 23, 2022 | -6.56 Mn |
| Dec 31, 2019 | 225.10 Mn |
| Sep 30, 2019 | -17.01 Mn |
| Dec 31, 2018 | 1.22 Mn |
| Sep 30, 2018 | 492,000.00 |
| Dec 31, 2017 | -1.41 Mn |
| Sep 30, 2017 | -2.86 Mn |
API Access
J & Friends 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=JF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "JF", "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=JF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();