Auburn National Bancorporation (AUBN) EV to EBITDA (2011 - 2026)
Auburn National Bancorporation's EV to EBITDA came in at -4.95 for Q2 2026, compared with -2.86 a year earlier.
Auburn National Bancorporation (AUBN) EV to EBITDA (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Auburn National Bancorporation reported EV to EBITDA of -23.39; for FY2025, it was -2.39.
- Going back by year, EV to EBITDA was -0.51 in FY2024, 0.29 in FY2023 (-91.0%), 3.18 in FY2022 and -3.22 in FY2021.
- The Q2 2026 figure represents the lowest quarterly EV to EBITDA since Q1 2022.
- Business Quant data shows AUBN's EV to EBITDA at -2.71 (Q1 2026), -2.39 (Q4 2025) and -1.90 (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - |
| 10 | Auburn National Bancorporation | 92.37 Mn | -556.21 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -4.95 |
| Mar 31, 2026 | -2.71 |
| Dec 31, 2025 | -2.39 |
| Sep 30, 2025 | -1.90 |
| Jun 30, 2025 | -2.86 |
| Mar 31, 2025 | -1.91 |
| Dec 31, 2024 | -0.51 |
| Sep 30, 2024 | -0.70 |
| Jun 30, 2024 | -4.04 |
| Mar 31, 2024 | -0.47 |
| Dec 31, 2023 | 0.29 |
| Sep 30, 2023 | 2.34 |
| Jun 30, 2023 | 2.43 |
| Mar 31, 2023 | 3.08 |
| Dec 31, 2022 | 3.18 |
| Sep 30, 2022 | 0.88 |
| Jun 30, 2022 | -3.10 |
| Mar 31, 2022 | -5.61 |
| Dec 31, 2021 | -3.22 |
| Sep 30, 2021 | -2.01 |
Auburn National Bancorporation EV to EBITDA 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=ev-to-ebitda&ticker=AUBN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=AUBN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();