Northrim Bancorp (NRIM) Sales of Property, Plant and Equipment (2015 - 2018)
Northrim Bancorp (NRIM) posted Sales of Property, Plant and Equipment of $392,000 for FY2024, down 63.7% from $1.08 million in FY2023.
Analysis
Northrim Bancorp (NRIM) Sales of Property, Plant and Equipment (2015 - 2018) Analysis & Trends
Since FY2009, Northrim Bancorp has reported Sales of Property, Plant and Equipment for 16 years.
- Annual Sales of Property, Plant and Equipment shows a five-year compound annual growth rate of -21.3% (FY2019 to FY2024).
- The FY2024 figure stands as the lowest annual Sales of Property, Plant and Equipment in data going back to FY2009.
- Business Quant data shows NRIM's Sales of Property, Plant and Equipment at $1.08 million in FY2023 (-79.3%), $5.22 million in FY2022 (+100.2%), $2.61 million in FY2021 (+227.5%) and $797,000 in FY2020 (-38.6%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Sale) (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 881.30 Bn | 881.30 Bn | - | - |
| 2 | Bank Of America | 354.90 Bn | -2,021.17 Bn | - | - |
| 3 | Hsbc Holdings | 311.39 Bn | -1,517.77 Bn | - | - |
| 4 | Morgan Stanley | 282.15 Bn | -226.95 Bn | - | - |
| 5 | Royal Bank Of Canada | 281.68 Bn | -548.32 Bn | - | - |
| 6 | Goldman Sachs | 255.22 Bn | -3,301.89 Bn | - | 146.00 Mn |
| 7 | Mitsubishi Ufj Financial | 249.82 Bn | -82.42 Bn | 10.89 Bn | - |
| 8 | Wells Fargo & Company | 249.49 Bn | 251.62 Bn | - | - |
| 9 | Toronto Dominion Bank | 210.53 Bn | -465.35 Bn | - | - |
| 10 | Northrim Bancorp | 530.76 Mn | 492.57 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2018 | 3,000.00 |
| Jun 30, 2017 | 82,000.00 |
| Mar 31, 2017 | 34,000.00 |
| Dec 31, 2016 | 22,000.00 |
| Jun 30, 2016 | 1.38 Mn |
| Dec 31, 2015 | 188,000.00 |
API Access
Northrim Bancorp Sales of Property, Plant and Equipment 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=sales-of-property-plant-and-equipment&ticker=NRIM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "sales-of-property-plant-and-equipment", "ticker": "NRIM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=sales-of-property-plant-and-equipment&ticker=NRIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();