Community Financial System (CBU) Change in Accured Expenses (2017 - 2022)
Community Financial System (CBU) reported Change in Accured Expenses of $57,000 for Q3 2022, down 6.6% from $61,000 a year earlier and unchanged from the prior quarter.
Community Financial System (CBU) Change in Accured Expenses (2017 - 2022) Analysis & Trends
Over the twelve months ended Sep 30, 2022, Community Financial System's Change in Accured Expenses came in at $240,000, down 6.3% year-over-year; for FY2021, it came in at $252,000, down 7.0% from FY2020.
- Change in Accured Expenses has declined for four consecutive years, with a four-year compound annual growth rate of -47.5% (FY2017 to FY2021).
- By year, Change in Accured Expenses came in at $271,000 in FY2020 (-5.2%), $286,000 in FY2019 (-4.0%), $298,000 in FY2018 (-91.0%) and $3.31 million in FY2017.
- Five-year quarterly Change in Accured Expenses spans a low of $57,000 in Q2 2022 and a high of $81,000 in Q1 2018.
- Year over year, Change in Accured Expenses has now declined in each of the last 18 quarters, with an average decline of 6.9% over the last eight quarters.
- Across the past five years, year-over-year decline in Change in Accured Expenses ran from 1.5% in Q2 2020 to 97.8% in Q2 2018.
- Per Business Quant data, the three quarters before Q3 2022 came in at $57,000 (Q2 2022), $63,000 (Q1 2022) and $63,000 (Q4 2021).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 22.64 Bn |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 27.13 Bn |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | - |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | - |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | - |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 14.35 Bn |
| 10 | Community Financial System | 3.19 Bn | 3.18 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2022 | 57,000.00 |
| Jun 30, 2022 | 57,000.00 |
| Mar 31, 2022 | 63,000.00 |
| Dec 31, 2021 | 63,000.00 |
| Sep 30, 2021 | 61,000.00 |
| Jun 30, 2021 | 60,000.00 |
| Mar 31, 2021 | 68,000.00 |
| Dec 31, 2020 | 67,000.00 |
| Sep 30, 2020 | 65,000.00 |
| Jun 30, 2020 | 65,000.00 |
| Mar 31, 2020 | 74,000.00 |
| Dec 31, 2019 | 73,000.00 |
| Sep 30, 2019 | 68,000.00 |
| Jun 30, 2019 | 66,000.00 |
| Mar 31, 2019 | 79,000.00 |
| Dec 31, 2018 | 78,000.00 |
| Sep 30, 2018 | 70,000.00 |
| Jun 30, 2018 | 69,000.00 |
| Mar 31, 2018 | 81,000.00 |
| Dec 31, 2017 | 80,000.00 |
Community Financial System Change in Accured 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=change-in-accured-expenses&ticker=CBU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "CBU", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=change-in-accured-expenses&ticker=CBU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();