Timberland Bancorp (TSBK) EPS (Diluted) (2010 - 2026)
Timberland Bancorp (TSBK) posted EPS (Diluted) of $0.98 for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 9.7% from $0.90 a year earlier and up 9.2% from the prior quarter.
Timberland Bancorp (TSBK) EPS (Diluted) (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EPS (Diluted) at Timberland Bancorp was $4.01, up 17.4% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $3.67, up 22.0% from FY2024.
- Annual EPS (Diluted) shows a five-year compound annual growth rate of 4.9% (FY2020 to FY2025).
- In prior fiscal years, Timberland Bancorp's EPS (Diluted) was $3.01 in FY2024 (-8.6%), $3.29 in FY2023 (+16.8%), $2.82 in FY2022 (-13.8%) and $3.27 in FY2021 (+13.4%).
- Quarterly EPS (Diluted) has run from a low of $0.63 in fiscal Q2 2022 to a high of $1.06 in fiscal Q4 2025 over five years.
- On a year-over-year basis, EPS (Diluted) has increased in each of the last seven quarters, with growth averaging 15.4% over the last eight quarters.
- The strongest year-over-year quarter for EPS (Diluted) in the past five years was fiscal Q1 2023, with growth of 39.0%; the weakest was fiscal Q2 2022, with a decline of 26.3%.
- According to Business Quant data, EPS (Diluted) for the three prior fiscal quarters was $0.90 (Q2 2026), $1.04 (Q1 2026) and $1.06 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 7.70 |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | 0.00 |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 1.20 |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 3.46 |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 3.06 |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | 2.15 |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 20.99 |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 2.00 |
| 10 | Timberland Bancorp | 348.70 Mn | -709.97 Mn | - | 0.98 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.98 |
| Mar 31, 2026 | 0.90 |
| Dec 31, 2025 | 1.04 |
| Sep 30, 2025 | 1.06 |
| Jun 30, 2025 | 0.90 |
| Mar 31, 2025 | 0.85 |
| Dec 31, 2024 | 0.86 |
| Sep 30, 2024 | 0.79 |
| Jun 30, 2024 | 0.74 |
| Mar 31, 2024 | 0.70 |
| Dec 31, 2023 | 0.77 |
| Sep 30, 2023 | 0.81 |
| Jun 30, 2023 | 0.77 |
| Mar 31, 2023 | 0.80 |
| Dec 31, 2022 | 0.90 |
| Sep 30, 2022 | 0.84 |
| Jun 30, 2022 | 0.69 |
| Mar 31, 2022 | 0.63 |
| Dec 31, 2021 | 0.65 |
| Sep 30, 2021 | 0.71 |
Timberland Bancorp EPS (Diluted) 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=eps-diluted&ticker=TSBK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=TSBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();