J & Friends Holdings (JF) Net Margin (2017 - 2022)
J & Friends Holdings (JF) reported Net Margin of -82.85% for the year ended Dec 31, 2025, down 38.24 percentage points from -44.61% a year earlier.
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Analysis
J & Friends Holdings (JF) Net Margin (2017 - 2022) Analysis & Trends
Dating back to the year ended Dec 31, 2016, J & Friends Holdings' Net Margin record includes 10 years.
- Net Margin has a five-year change of -5.15 percentage points (years ended Dec 2020 to Dec 2025).
- Five-year annual Net Margin spans a low of -306.42% in the year ended Dec 23, 2022 and a high of -44.61% in the year ended Dec 31, 2024.
- According to Business Quant data, Net Margin came in at -44.61% in the year ended Dec 31, 2024 (+103.89 pp), -148.50% in the year ended Dec 31, 2023 (+157.92 pp), -306.42% in the year ended Dec 23, 2022 (-247.70 pp) and -58.72% in the year ended Dec 31, 2021 (+18.98 pp).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 51.55 Bn | 23.79 Bn | 695.95 Mn | 29.47% |
| 3 | Samsara | 24.79 Bn | 21.56 Bn | 392.58 Mn | 3.19% |
| 4 | Ptc | 22.17 Bn | 20.99 Bn | 490.47 Mn | 19.80% |
| 5 | Toast | 18.88 Bn | 11.55 Bn | 516.00 Mn | 8.07% |
| 6 | Trimble | 14.47 Bn | 13.54 Bn | 674.90 Mn | -48.53% |
| 7 | Manhattan Associates | 13.68 Bn | 12.67 Bn | 168.33 Mn | 16.91% |
| 8 | Costar | 13.35 Bn | 7.30 Bn | 728.00 Mn | 5.95% |
| 9 | Bentley Systems | 11.88 Bn | 11.34 Bn | 336.74 Mn | 19.13% |
| 10 | J & Friends Holdings | 15.30 Mn | -204,583.58 | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 23, 2022 | -310.35% |
| Dec 31, 2019 | -350.62% |
| Sep 30, 2019 | 9.46% |
| Dec 31, 2018 | -0.43% |
| Sep 30, 2018 | -12.62% |
| Dec 31, 2017 | 0.83% |
| Sep 30, 2017 | -4.51% |
API Access
J & Friends Holdings Net Margin 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=net-margin&ticker=JF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "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=net-margin&ticker=JF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();