J & Friends Holdings (JF) Interest Expenses (2017 - 2022)
J & Friends Holdings' Interest Expenses came in at -$52,000 for the year ended Dec 31, 2025, compared with -$14,000 a year earlier.
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Analysis
J & Friends Holdings (JF) Interest Expenses (2017 - 2022) Analysis & Trends
Going back to the year ended Dec 31, 2016, J & Friends Holdings' Interest Expenses data covers 10 years.
- The five-year range for annual Interest Expenses is -$5.18 million (the year ended Dec 31, 2021) to -$4,631 (the year ended Dec 23, 2022).
- Per Business Quant, earlier years put Interest Expenses at -$14,000 in the year ended Dec 31, 2024, -$2.01 million in the year ended Dec 31, 2023, -$4,631 in the year ended Dec 23, 2022 and -$5.18 million in the year ended Dec 31, 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 51.57 Bn | 23.82 Bn | 695.95 Mn | - |
| 3 | Samsara | 23.54 Bn | 20.31 Bn | 392.58 Mn | - |
| 4 | Ptc | 22.16 Bn | 20.97 Bn | 490.47 Mn | 15.80 Mn |
| 5 | Toast | 18.20 Bn | 10.87 Bn | 516.00 Mn | - |
| 6 | Trimble | 13.96 Bn | 13.03 Bn | 674.90 Mn | 20.90 Mn |
| 7 | Manhattan Associates | 13.22 Bn | 12.21 Bn | 168.33 Mn | - |
| 8 | Costar | 12.85 Bn | 6.80 Bn | 728.00 Mn | - |
| 9 | Bentley Systems | 11.44 Bn | 10.90 Bn | 336.74 Mn | - |
| 10 | J & Friends Holdings | 15.30 Mn | -204,583.58 | - | - |
Historic Data
Download Data
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 |
API Access
J & Friends Holdings 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=interest-expenses&ticker=JF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=interest-expenses&ticker=JF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();