Nbt Bancorp (NBTB) Non Operating Interest Expenses (2009 - 2024)
Nbt Bancorp (NBTB) recorded Non Operating Interest Expenses of $51.76 million in Q1 2024, up 170.6% from $19.13 million a year earlier and unchanged from the prior quarter.
Nbt Bancorp (NBTB) Non Operating Interest Expenses (2009 - 2024) Analysis & Trends
On a TTM basis, Nbt Bancorp's Non Operating Interest Expenses came in at $177.21 million as of Mar 31, 2024, up 377.0% year-over-year; for FY2023, it came in at $144.57 million, up 560.7% from FY2022.
- Annual Non Operating Interest Expenses has a five-year compound annual growth rate of 30.2% (FY2018 to FY2023).
- Across earlier years, Non Operating Interest Expenses came in at $21.88 million in FY2022 (+16.5%), $18.79 million in FY2021 (-42.4%), $32.6 million in FY2020 (-41.8%) and $55.98 million in FY2019 (+44.9%).
- The Q1 2024 figure is the highest quarterly Non Operating Interest Expenses in data going back to Q2 2009.
- On a year-over-year basis, Non Operating Interest Expenses has increased for seven consecutive quarters, with growth averaging 328.6% over the last eight quarters.
- Peak year-over-year performance for Non Operating Interest Expenses in the last five years was growth of 791.0% in Q3 2023, against a decline of 57.0% in Q1 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $51.74 million (Q4 2023), $42.2 million (Q3 2023) and $31.5 million (Q2 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 | Nbt Bancorp | 2.61 Bn | 2.61 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2024 | 51.76 Mn |
| Dec 31, 2023 | 51.74 Mn |
| Sep 30, 2023 | 42.20 Mn |
| Jun 30, 2023 | 31.50 Mn |
| Mar 31, 2023 | 19.13 Mn |
| Dec 31, 2022 | 9.39 Mn |
| Sep 30, 2022 | 4.74 Mn |
| Jun 30, 2022 | 3.90 Mn |
| Mar 31, 2022 | 3.85 Mn |
| Dec 31, 2021 | 4.13 Mn |
| Sep 30, 2021 | 4.54 Mn |
| Jun 30, 2021 | 4.87 Mn |
| Mar 31, 2021 | 5.26 Mn |
| Dec 31, 2020 | 6.33 Mn |
| Sep 30, 2020 | 7.05 Mn |
| Jun 30, 2020 | 7.00 Mn |
| Mar 31, 2020 | 12.22 Mn |
| Dec 31, 2019 | 13.39 Mn |
| Sep 30, 2019 | 14.33 Mn |
| Jun 30, 2019 | 14.61 Mn |
Nbt Bancorp 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=NBTB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "NBTB", "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=NBTB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();