J & Friends Holdings (JF) Operating Margin (2017 - 2022)
J & Friends Holdings (JF) posted Operating Margin of -96.43% for the year ended Dec 31, 2025, down 53.77 percentage points from -42.66% a year earlier.
J & Friends Holdings (JF) Operating Margin (2017 - 2022) Analysis & Trends
Since the year ended Dec 31, 2016, J & Friends Holdings has reported Operating Margin for 10 years.
- Annual Operating Margin shows a five-year change of -41.75 percentage points (years ended Dec 2020 to Dec 2025).
- Annual Operating Margin has run from a low of -153.23% in the year ended Dec 31, 2023 to a high of -41.18% in the year ended Dec 31, 2021 over five years.
- Business Quant data shows JF's Operating Margin at -42.66% in the year ended Dec 31, 2024 (+110.57 pp), -153.23% in the year ended Dec 31, 2023 (-94.25 pp), -58.98% in the year ended Dec 23, 2022 (-17.80 pp) and -41.18% in the year ended Dec 31, 2021 (+13.50 pp).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 51.88 Bn | 24.12 Bn | 695.95 Mn | 29.64% |
| 3 | Samsara | 24.41 Bn | 21.18 Bn | 392.58 Mn | 0.96% |
| 4 | Ptc | 22.17 Bn | 20.98 Bn | 490.47 Mn | 27.75% |
| 5 | Toast | 18.72 Bn | 11.39 Bn | 516.00 Mn | 7.97% |
| 6 | Trimble | 14.25 Bn | 13.32 Bn | 674.90 Mn | 13.58% |
| 7 | Manhattan Associates | 13.45 Bn | 12.44 Bn | 168.33 Mn | 22.24% |
| 8 | Costar | 13.29 Bn | 7.24 Bn | 728.00 Mn | 8.22% |
| 9 | Bentley Systems | 11.81 Bn | 11.27 Bn | 336.74 Mn | 21.57% |
| 10 | J & Friends Holdings | 15.30 Mn | -204,583.58 | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 23, 2022 | -58.98% |
| Dec 31, 2019 | -289.13% |
| Sep 30, 2019 | 21.46% |
| Dec 31, 2018 | 36.89% |
| Sep 30, 2018 | 9.73% |
| Dec 31, 2017 | 5.22% |
| Sep 30, 2017 | -5.72% |
J & Friends Holdings Operating 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=operating-margin&ticker=JF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-margin&ticker=JF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();