FS Bancorp (FSBW) Change in Accured Expenses (2011 - 2023)
FS Bancorp's Change in Accured Expenses was $325,000 in Q2 2023, compared with -$1.62 million a year earlier and down 80.9% from the prior quarter.
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Analysis
FS Bancorp (FSBW) Change in Accured Expenses (2011 - 2023) Analysis & Trends
On a trailing twelve-month basis, FS Bancorp's Change in Accured Expenses was $6.56 million through Jun 30, 2023; for FY2022, it came in at $2.62 million.
- Change in Accured Expenses shows a five-year compound annual growth rate of 16.9% (FY2017 to FY2022).
- In earlier years, Change in Accured Expenses was -$1.49 million in FY2021, $5.71 million in FY2020, -$2.44 million in FY2019 and -$2.05 million in FY2018.
- Quarterly Change in Accured Expenses has moved between -$9.25 million (Q4 2019) and $3.45 million (Q2 2020) over five years.
- The best year-over-year quarter for Change in Accured Expenses over five years was Q3 2019 (growth of 284.0%); the worst was Q1 2020 (a decline of 99.1%).
- Per Business Quant data, FSBW's Change in Accured Expenses in the three quarters before Q2 2023 was $1.7 million (Q1 2023), $1.38 million (Q4 2022) and $3.15 million (Q3 2022).
Peer Set
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 | FS Bancorp | 329.10 Mn | 171.18 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | 325,000.00 |
| Mar 31, 2023 | 1.70 Mn |
| Dec 31, 2022 | 1.38 Mn |
| Sep 30, 2022 | 3.15 Mn |
| Jun 30, 2022 | -1.62 Mn |
| Mar 31, 2022 | -296,000.00 |
| Dec 31, 2021 | -2.49 Mn |
| Sep 30, 2021 | 3.25 Mn |
| Jun 30, 2021 | -3.32 Mn |
| Mar 31, 2021 | 1.07 Mn |
| Dec 31, 2020 | -1.18 Mn |
| Sep 30, 2020 | 3.43 Mn |
| Jun 30, 2020 | 3.45 Mn |
| Mar 31, 2020 | 14,000.00 |
| Dec 31, 2019 | -9.25 Mn |
| Sep 30, 2019 | 2.88 Mn |
| Jun 30, 2019 | 2.41 Mn |
| Mar 31, 2019 | 1.52 Mn |
| Dec 31, 2018 | -7.37 Mn |
| Sep 30, 2018 | 749,000.00 |
API Access
FS Bancorp 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=FSBW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "FSBW", "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=FSBW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();