Timberland Bancorp (TSBK) Service Charges (2010 - 2019)
Timberland Bancorp (TSBK) recorded Service Charges of $1.19 million in fiscal Q2 2019 (quarter ended Mar 31, 2019), up 5.1% from $1.13 million a year earlier but down 2.1% from the prior quarter.
Timberland Bancorp (TSBK) Service Charges (2010 - 2019) Analysis & Trends
On a TTM basis, Timberland Bancorp's Service Charges came in at $4.68 million as of Mar 31, 2019, up 0.9% year-over-year; for FY2018 (ended Sep 30, 2018), it came in at $4.58 million, up 1.4% from FY2017.
- Annual Service Charges has increased for three straight fiscal years, with a five-year compound annual growth rate of 4.6% (FY2013 to FY2018).
- Across earlier fiscal years, Service Charges came in at $4.52 million in FY2017 (+13.8%), $3.97 million in FY2016 (+9.8%), $3.62 million in FY2015 (-3.3%) and $3.74 million in FY2014 (+2.0%).
- Quarterly Service Charges has ranged from $852,000 in fiscal Q2 2015 to $1.22 million in fiscal Q1 2019 over the past five years.
- On a year-over-year basis, Service Charges rose in six of the last eight quarters, with growth averaging 5.0%.
- Peak year-over-year performance for Service Charges in the last five years was growth of 16.6% in fiscal Q3 2017, against a decline of 10.8% in fiscal Q1 2015 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $1.22 million (Q1 2019), $1.13 million (Q4 2018) and $1.14 million (Q3 2018).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - |
| 10 | Timberland Bancorp | 346.37 Mn | -712.30 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2019 | 1.19 Mn |
| Dec 31, 2018 | 1.22 Mn |
| Sep 30, 2018 | 1.13 Mn |
| Jun 30, 2018 | 1.14 Mn |
| Mar 31, 2018 | 1.13 Mn |
| Dec 31, 2017 | 1.18 Mn |
| Sep 30, 2017 | 1.17 Mn |
| Jun 30, 2017 | 1.15 Mn |
| Mar 31, 2017 | 1.09 Mn |
| Dec 31, 2016 | 1.11 Mn |
| Sep 30, 2016 | 1.07 Mn |
| Jun 30, 2016 | 989,000.00 |
| Mar 31, 2016 | 937,000.00 |
| Dec 31, 2015 | 972,000.00 |
| Sep 30, 2015 | 980,000.00 |
| Jun 30, 2015 | 899,000.00 |
| Mar 31, 2015 | 852,000.00 |
| Dec 31, 2014 | 885,000.00 |
| Sep 30, 2014 | 943,000.00 |
| Jun 30, 2014 | 921,000.00 |
Timberland Bancorp Service Charges 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=service-charges&ticker=TSBK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "service-charges", "ticker": "TSBK", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=service-charges&ticker=TSBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();