K-Tech Solutions (KMRK) Non Operating Interest Expenses (2023 - 2026)
K-Tech Solutions' Non Operating Interest Expenses was -$44,143 in the quarter ended Mar 31, 2026, compared with -$60,694 a year earlier.
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Analysis
K-Tech Solutions (KMRK) Non Operating Interest Expenses (2023 - 2026) Analysis & Trends
For the year ended Mar 31, 2026, Non Operating Interest Expenses at K-Tech Solutions came in at -$44.14 billion.
- In earlier years, Non Operating Interest Expenses was -$60.69 billion in the year ended Mar 31, 2025, -$35.69 billion in the year ended Mar 31, 2024 and $46,904 in the year ended Mar 31, 2023.
- The figure for the quarter ended Mar 31, 2026 marks the highest quarterly Non Operating Interest Expenses since the quarter ended Mar 31, 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Amer Sports | 15.15 Bn | 11.20 Bn | 1.07 Bn | -20.00 Mn |
| 2 | Hasbro | 12.63 Bn | 8.42 Bn | 867.20 Mn | 46.50 Mn |
| 3 | Acushnet Holdings | 4.89 Bn | 4.63 Bn | 445.83 Mn | - |
| 4 | Mattel | 4.36 Bn | 1.04 Bn | 542.12 Mn | 31.76 Mn |
| 5 | YETI Holdings | 2.98 Bn | 2.30 Bn | 322.52 Mn | - |
| 6 | Callaway Golf | 2.58 Bn | 33.08 Mn | 306.70 Mn | 4.60 Mn |
| 7 | Peloton Interactive | 2.16 Bn | -2.46 Bn | 344.40 Mn | 30.00 Mn |
| 8 | Unusual Machines | 1.12 Bn | 655.02 Mn | 5.80 Mn | 281.00 |
| 9 | Sturm Ruger | 708.48 Mn | 312.48 Mn | 33.74 Mn | 23,000.00 |
| 10 | K-Tech Solutions | 24.26 Mn | -2.13 Mn | - | -44,143.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -44,143.00 |
| Mar 31, 2025 | -60,694.00 |
| Mar 31, 2024 | -35,690.00 |
| Mar 31, 2023 | -46,904.00 |
API Access
K-Tech Solutions Non 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=non-operating-interest-expenses&ticker=KMRK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "KMRK", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=non-operating-interest-expenses&ticker=KMRK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();