FVCBankcorp (FVCB) Non Operating Interest Expenses (2017 - 2024)
FVCBankcorp (FVCB) recorded Non Operating Interest Expenses of $14.3 million in Q2 2024, up 11.6% from $12.82 million a year earlier and up 1.9% from the prior quarter.
FVCBankcorp (FVCB) Non Operating Interest Expenses (2017 - 2024) Analysis & Trends
On a TTM basis, FVCBankcorp's Non Operating Interest Expenses came in at $56.42 million as of Jun 30, 2024, up 60.5% year-over-year; for FY2023, it came in at $52.22 million, up 238.2% from FY2022.
- Annual Non Operating Interest Expenses has a five-year compound annual growth rate of 33.9% (FY2018 to FY2023).
- Across earlier years, Non Operating Interest Expenses came in at $15.44 million in FY2022 (+47.3%), $10.48 million in FY2021 (-27.6%), $14.48 million in FY2020 (-22.4%) and $18.67 million in FY2019 (+54.2%).
- The Q2 2024 figure is the highest quarterly Non Operating Interest Expenses in data going back to Q3 2017.
- On a year-over-year basis, Non Operating Interest Expenses has increased for eight consecutive quarters, with growth averaging 195.8% over the last eight quarters.
- Peak year-over-year performance for Non Operating Interest Expenses in the last five years was growth of 472.4% in Q2 2023, against a decline of 42.1% in Q1 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $14.04 million (Q1 2024), $13.99 million (Q4 2023) and $14.09 million (Q3 2023).
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 | FVCBankcorp | 314.34 Mn | 314.34 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2024 | 14.30 Mn |
| Mar 31, 2024 | 14.04 Mn |
| Dec 31, 2023 | 13.99 Mn |
| Sep 30, 2023 | 14.09 Mn |
| Jun 30, 2023 | 12.82 Mn |
| Mar 31, 2023 | 11.32 Mn |
| Dec 31, 2022 | 7.46 Mn |
| Sep 30, 2022 | 3.57 Mn |
| Jun 30, 2022 | 2.24 Mn |
| Mar 31, 2022 | 2.17 Mn |
| Dec 31, 2021 | 2.25 Mn |
| Sep 30, 2021 | 2.91 Mn |
| Jun 30, 2021 | 2.59 Mn |
| Mar 31, 2021 | 2.74 Mn |
| Dec 31, 2020 | 3.01 Mn |
| Sep 30, 2020 | 3.17 Mn |
| Jun 30, 2020 | 3.59 Mn |
| Mar 31, 2020 | 4.72 Mn |
| Dec 31, 2019 | 4.94 Mn |
| Sep 30, 2019 | 4.91 Mn |
FVCBankcorp 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=FVCB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "FVCB", "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=FVCB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();