S&T Bancorp (STBA) Change in Accrued Expenses (2009 - 2020)
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Analysis
S&T Bancorp (STBA) Change in Accrued Expenses (2009 - 2020) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | -5.85 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | -39.30 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | - |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | - |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | -2.81 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | S&T Bancorp | 1.81 Bn | -3.09 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2020 | -1.30 Mn |
| Sep 30, 2020 | -45,000.00 |
| Jun 30, 2020 | -1.60 Mn |
| Mar 31, 2020 | -242,000.00 |
| Dec 31, 2019 | -824,000.00 |
| Sep 30, 2019 | 183,000.00 |
| Jun 30, 2019 | -793,000.00 |
| Mar 31, 2019 | -789,000.00 |
| Dec 31, 2018 | 1.55 Mn |
| Sep 30, 2018 | 104,000.00 |
| Jun 30, 2018 | 1.42 Mn |
| Mar 31, 2018 | -720,000.00 |
| Dec 31, 2017 | 901,000.00 |
| Sep 30, 2017 | 202,000.00 |
| Jun 30, 2017 | 681,000.00 |
| Mar 31, 2017 | -435,000.00 |
| Dec 31, 2016 | 598,000.00 |
| Sep 30, 2016 | -9,000.00 |
| Jun 30, 2016 | 251,000.00 |
| Mar 31, 2016 | 875,000.00 |
API Access
S&T Bancorp Change in Accrued 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-accrued-expenses&ticker=STBA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accrued-expenses", "ticker": "STBA", "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-accrued-expenses&ticker=STBA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();