Timberland Bancorp (TSBK) Professional Fees (2010 - 2026)
Timberland Bancorp (TSBK) posted Professional Fees of $361,000 for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 5.9% from $341,000 a year earlier and up 11.1% from the prior quarter.
Timberland Bancorp (TSBK) Professional Fees (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Professional Fees at Timberland Bancorp was $1.56 million, up 2.2% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $1.68 million, up 27.3% from FY2024.
- Annual Professional Fees shows a five-year compound annual growth rate of 8.6% (FY2020 to FY2025).
- In prior fiscal years, Timberland Bancorp's Professional Fees was $1.32 million in FY2024 (-36.6%), $2.08 million in FY2023 (+18.9%), $1.75 million in FY2022 (+73.7%) and $1.01 million in FY2021 (-9.1%).
- Quarterly Professional Fees has run from a low of $253,000 in fiscal Q1 2024 to a high of $599,000 in fiscal Q4 2023 over five years.
- On a year-over-year basis, Professional Fees increased in five of the last eight quarters, with growth averaging 6.4%.
- The strongest year-over-year quarter for Professional Fees in the past five years was fiscal Q3 2022, with growth of 121.4%; the weakest was fiscal Q3 2024, with a decline of 41.9%.
- According to Business Quant data, Professional Fees for the three prior fiscal quarters was $325,000 (Q2 2026), $316,000 (Q1 2026) and $558,000 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Professional Fees (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 3.90 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 606.00 Mn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 700.00 Mn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 411.67 Mn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 424.00 Mn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 1.17 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | Timberland Bancorp | 375.82 Mn | 375.82 Mn | - | 418,000.00 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 418,000.00 |
| Jun 30, 2026 | 361,000.00 |
| Mar 31, 2026 | 325,000.00 |
| Dec 31, 2025 | 316,000.00 |
| Sep 30, 2025 | 558,000.00 |
| Jun 30, 2025 | 341,000.00 |
| Mar 31, 2025 | 431,000.00 |
| Dec 31, 2024 | 346,000.00 |
| Sep 30, 2024 | 409,000.00 |
| Jun 30, 2024 | 335,000.00 |
| Mar 31, 2024 | 319,000.00 |
| Dec 31, 2023 | 253,000.00 |
| Sep 30, 2023 | 599,000.00 |
| Jun 30, 2023 | 577,000.00 |
| Mar 31, 2023 | 473,000.00 |
| Dec 31, 2022 | 429,000.00 |
| Sep 30, 2022 | 574,000.00 |
| Jun 30, 2022 | 580,000.00 |
| Mar 31, 2022 | 322,000.00 |
| Dec 31, 2021 | 271,000.00 |
Timberland Bancorp Professional Fees 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=professional-fees&ticker=TSBK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "professional-fees", "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=professional-fees&ticker=TSBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();