Auburn National Bancorporation (AUBN) EPS (Diluted) (2024 - 2026)
Auburn National Bancorporation's EPS (Diluted) was $0.66 in Q2 2026, up 25.4% from $0.52 a year earlier and up 4.7% from the prior quarter.
Auburn National Bancorporation (AUBN) EPS (Diluted) (2024 - 2026) Analysis & Trends
On a trailing twelve-month basis, Auburn National Bancorporation's EPS (Diluted) was $2.40 through Jun 30, 2026, up 26.1% year-over-year; for FY2025, it came in at $2.08, up 13.4% from FY2024.
- In earlier years, EPS (Diluted) was $1.83 in FY2024.
- The Q2 2026 figure marks the highest quarterly EPS (Diluted) in data going back to Q3 2024.
- Compared with a year earlier, EPS (Diluted) has increased for four straight quarters, with growth averaging 26.0% over the last four quarters.
- Per Business Quant data, AUBN's EPS (Diluted) in the three quarters before Q2 2026 was $0.63 (Q1 2026), $0.48 (Q4 2025) and $0.64 (Q3 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 | Auburn National Bancorporation | 92.37 Mn | -556.21 Mn | - | 0.66 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.66 |
| Mar 31, 2026 | 0.63 |
| Dec 31, 2025 | 0.48 |
| Sep 30, 2025 | 0.64 |
| Jun 30, 2025 | 0.52 |
| Mar 31, 2025 | 0.44 |
| Dec 31, 2024 | 0.45 |
| Sep 30, 2024 | 0.50 |
Auburn National Bancorporation 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=AUBN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "ticker": "AUBN", "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=AUBN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();