J & Friends Holdings (JF) Selling, General & Administrative (2017 - 2022)
J & Friends Holdings (JF) posted Selling, General & Administrative of -$1.44 million for the year ended Dec 31, 2025, compared with -$293,000 a year earlier.
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Analysis
J & Friends Holdings (JF) Selling, General & Administrative (2017 - 2022) Analysis & Trends
Since the year ended Dec 31, 2016, J & Friends Holdings has reported Selling, General & Administrative for 10 years.
- The figure for the year ended Dec 31, 2025 stands as the lowest annual Selling, General & Administrative since the year ended Dec 23, 2022.
- Business Quant data shows JF's Selling, General & Administrative at -$293,000 in the year ended Dec 31, 2024, -$264,000 in the year ended Dec 31, 2023, -$2.92 million in the year ended Dec 23, 2022 and -$13.83 million in the year ended Dec 31, 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 178,646.00 |
| 2 | Veeva Systems | 52.46 Bn | 24.70 Bn | 695.95 Mn | 71.31 Mn |
| 3 | Samsara | 25.53 Bn | 22.30 Bn | 392.58 Mn | 67.38 Mn |
| 4 | Ptc | 22.27 Bn | 21.08 Bn | 490.47 Mn | 59.97 Mn |
| 5 | Toast | 19.27 Bn | 11.94 Bn | 516.00 Mn | 89.00 Mn |
| 6 | Trimble | 14.90 Bn | 13.96 Bn | 674.90 Mn | 149.70 Mn |
| 7 | Costar | 14.20 Bn | 8.15 Bn | 728.00 Mn | 114.00 Mn |
| 8 | Manhattan Associates | 14.18 Bn | 13.18 Bn | 168.33 Mn | 26.74 Mn |
| 9 | Bentley Systems | 12.28 Bn | 11.74 Bn | 336.74 Mn | 65.22 Mn |
| 10 | J & Friends Holdings | 15.31 Mn | -189,618.57 | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 23, 2022 | -2.92 Mn |
| Dec 31, 2019 | 186.84 Mn |
| Sep 30, 2019 | -12.21 Mn |
| Dec 31, 2018 | 22.31 Mn |
| Sep 30, 2018 | 9.17 Mn |
| Dec 31, 2017 | -4.36 Mn |
| Sep 30, 2017 | -4.24 Mn |
API Access
J & Friends Holdings Selling, General & Administrative 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=selling-general-and-administrative&ticker=JF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=JF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();