J & Friends Holdings (JF) Operating Interest Expenses (2017 - 2022)
J & Friends Holdings (JF) posted Operating Interest Expenses of -$1.37 million for the year ended Dec 31, 2023, compared with -$5,000 a year earlier.
J & Friends Holdings (JF) Operating Interest Expenses (2017 - 2022) Analysis & Trends
Since the year ended Dec 31, 2016, J & Friends Holdings has reported Operating Interest Expenses for 8 years.
- The figure for the year ended Dec 31, 2023 stands as the lowest annual Operating Interest Expenses since the year ended Dec 31, 2020.
- Business Quant data shows JF's Operating Interest Expenses at -$5,000 in the year ended Dec 23, 2022, -$91,000 in the year ended Dec 31, 2021, -$2.53 million in the year ended Dec 31, 2020 and -$7.44 million in the year ended Dec 31, 2019.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Interest Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 52.05 Bn | 24.30 Bn | 695.95 Mn | - |
| 3 | Samsara | 25.30 Bn | 22.08 Bn | 392.58 Mn | - |
| 4 | Ptc | 22.27 Bn | 21.08 Bn | 490.47 Mn | - |
| 5 | Toast | 18.84 Bn | 11.51 Bn | 516.00 Mn | - |
| 6 | Trimble | 14.60 Bn | 13.67 Bn | 674.90 Mn | - |
| 7 | Manhattan Associates | 13.86 Bn | 12.85 Bn | 168.33 Mn | - |
| 8 | Costar | 13.30 Bn | 7.25 Bn | 728.00 Mn | - |
| 9 | Bentley Systems | 11.98 Bn | 11.44 Bn | 336.74 Mn | - |
| 10 | J & Friends Holdings | 15.24 Mn | -264,445.63 | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 23, 2022 | -5,000.00 |
| Dec 31, 2019 | 2.23 Mn |
| Sep 30, 2019 | 10.60 Mn |
| Dec 31, 2018 | 5.22 Mn |
| Sep 30, 2018 | 4.66 Mn |
| Dec 31, 2017 | -5.02 Mn |
| Sep 30, 2017 | -3.01 Mn |
J & Friends Holdings Operating Interest 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-interest-expenses&ticker=JF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-interest-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-interest-expenses&ticker=JF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();