NSTS Bancorp (NSTS) Tax Provisions (2020 - 2023)
NSTS Bancorp's Tax Provisions came in at $1.1 million for Q4 2023, up 415.0% from $213,000 a year earlier.
Analysis
NSTS Bancorp (NSTS) Tax Provisions (2020 - 2023) Analysis & Trends
For FY2023, NSTS Bancorp's Tax Provisions was $999,000, up 584.2% from FY2022.
- Going back by year, Tax Provisions was $146,000 in FY2022, -$214,000 in FY2021 and -$503,000 in FY2020.
- The Q4 2023 figure represents the highest quarterly Tax Provisions in data going back to Q3 2020.
- Business Quant data shows NSTS's Tax Provisions at -$105,000 (Q3 2023), $35,000 (Q2 2023) and -$28,000 (Q1 2023) in the three quarters before Q4 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 6.36 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -51.13 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 2.49 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 1.70 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 1.24 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 1.17 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 1.94 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 1.40 Bn |
| 10 | NSTS Bancorp | 74.91 Mn | -88.28 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 1.10 Mn |
| Sep 30, 2023 | -105,000.00 |
| Jun 30, 2023 | 35,000.00 |
| Mar 31, 2023 | -28,000.00 |
| Dec 31, 2022 | 213,000.00 |
| Sep 30, 2022 | -31,000.00 |
| Jun 30, 2022 | 40,000.00 |
| Mar 31, 2022 | -76,000.00 |
| Dec 31, 2021 | 34,000.00 |
| Sep 30, 2021 | -11,000.00 |
| Jun 30, 2021 | -193,000.00 |
| Mar 31, 2021 | -44,000.00 |
| Dec 31, 2020 | -176,000.00 |
| Sep 30, 2020 | -245,000.00 |
API Access
NSTS Bancorp Tax Provisions 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=tax-provisions&ticker=NSTS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "ticker": "NSTS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=tax-provisions&ticker=NSTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();