National Bankshares (NKSH) Non Operating Interest Expenses (2018 - 2024)
National Bankshares' Non Operating Interest Expenses came in at $7.78 million for Q1 2024, up 151.0% from $3.1 million a year earlier and up 10.6% from the prior quarter.
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Analysis
National Bankshares (NKSH) Non Operating Interest Expenses (2018 - 2024) Analysis & Trends
Over the trailing twelve months to Mar 31, 2024, National Bankshares reported Non Operating Interest Expenses of $26.23 million, up 374.6% year-over-year; for FY2023, it was $21.55 million, up 599.0% from FY2022.
- Non Operating Interest Expenses carries a five-year compound annual growth rate of 33.7% (FY2018 to FY2023).
- Going back by year, Non Operating Interest Expenses was $3.08 million in FY2022, $5.84 million in FY2020 (-20.9%) and $7.38 million in FY2019 (+46.2%).
- The Q1 2024 figure represents the highest quarterly Non Operating Interest Expenses in data going back to Q3 2018.
- Year-over-year, Non Operating Interest Expenses has increased for five consecutive quarters, with growth averaging 360.6% over the last seven quarters.
- The fastest year-over-year change in Non Operating Interest Expenses over five years came in Q2 2023 (growth of 731.5%), and the weakest in Q1 2021 (a decline of 52.4%).
- Business Quant data shows NKSH's Non Operating Interest Expenses at $7.03 million (Q4 2023), $6.04 million (Q3 2023) and $5.38 million (Q2 2023) in the three quarters before Q1 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -538.61 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 12.80 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 9.12 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | - |
| 10 | National Bankshares | 266.99 Mn | 48.72 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2024 | 7.78 Mn |
| Dec 31, 2023 | 7.03 Mn |
| Sep 30, 2023 | 6.04 Mn |
| Jun 30, 2023 | 5.38 Mn |
| Mar 31, 2023 | 3.10 Mn |
| Dec 31, 2022 | 1.03 Mn |
| Sep 30, 2022 | 753,000.00 |
| Jun 30, 2022 | 647,000.00 |
| Mar 31, 2022 | 655,000.00 |
| Sep 30, 2021 | 719,000.00 |
| Jun 30, 2021 | 834,000.00 |
| Mar 31, 2021 | 855,000.00 |
| Dec 31, 2020 | 1.02 Mn |
| Sep 30, 2020 | 1.42 Mn |
| Jun 30, 2020 | 1.60 Mn |
| Mar 31, 2020 | 1.80 Mn |
| Dec 31, 2019 | 1.81 Mn |
| Sep 30, 2019 | 1.87 Mn |
| Jun 30, 2019 | 1.91 Mn |
| Mar 31, 2019 | 1.79 Mn |
API Access
National Bankshares 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=NKSH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "NKSH", "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=NKSH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();