Mind Technology (MIND) Non Operating Interest Expenses (2023)
Mind Technology (MIND) posted Non Operating Interest Expenses of $169,000 for fiscal Q3 2024 (quarter ended Oct 31, 2023), up 3.7% from the prior quarter.
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Analysis
Mind Technology (MIND) Non Operating Interest Expenses (2023) Analysis & Trends
For FY2017 (ended Jan 31, 2017), Mind Technology's Non Operating Interest Expenses came in at $653,000, down 11.6% from FY2016.
- Annual Non Operating Interest Expenses shows a five-year compound annual growth rate of -2.5% (FY2012 to FY2017).
- In prior fiscal years, Mind Technology's Non Operating Interest Expenses was $739,000 in FY2016 (-18.1%), $902,000 in FY2015 (+187.3%), $314,000 in FY2014 (-41.1%) and $533,000 in FY2013 (-28.0%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 135.00 Mn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 213.70 Mn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 710.00 Mn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 201.00 Mn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 95.00 Mn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 17.40 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | - |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | - |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 79.00 Mn |
| 10 | Mind Technology | 40.45 Mn | -31.55 Mn | 2.09 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Oct 31, 2023 | 169,000.00 |
| Jul 31, 2023 | 163,000.00 |
| Apr 30, 2023 | 204,000.00 |
API Access
Mind Technology 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=MIND&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "MIND", "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=MIND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();