Auburn National Bancorporation (AUBN) EBITDA (2010 - 2026)
Auburn National Bancorporation (AUBN) recorded EBITDA of $6.15 million in Q2 2026, up 10.1% from $5.59 million a year earlier and up 2.8% from the prior quarter.
Auburn National Bancorporation (AUBN) EBITDA (2010 - 2026) Analysis & Trends
On a TTM basis, Auburn National Bancorporation's EBITDA came in at $23.7 million as of Jun 30, 2026, up 4.4% year-over-year; for FY2025, it was $22.42 million, up 2.2% from FY2024.
- Annual EBITDA has a five-year compound annual growth rate of 9.0% (FY2020 to FY2025).
- Across earlier years, EBITDA came in at $21.94 million in FY2024 (+111.7%), $10.36 million in FY2023 (-38.1%), $16.76 million in FY2022 (+26.9%) and $13.21 million in FY2021 (-9.4%).
- Quarterly EBITDA has ranged from -$2.03 million in Q4 2023 to $7.05 million in Q4 2022 over the past five years.
- On a year-over-year basis, EBITDA rose in six of the last seven quarters, with growth averaging 9.8%.
- Peak year-over-year performance for EBITDA in the last five years was growth of 147.7% in Q4 2022, against a decline of 22.6% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $5.99 million (Q1 2026), $5.34 million (Q4 2025) and $6.22 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 54.95 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | -1,174.27 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 30.01 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 21.67 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 18.88 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 | - | 27.17 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 20.89 Bn |
| 10 | Auburn National Bancorporation | 92.37 Mn | -556.21 Mn | - | 6.15 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.15 Mn |
| Mar 31, 2026 | 5.99 Mn |
| Dec 31, 2025 | 5.34 Mn |
| Sep 30, 2025 | 6.22 Mn |
| Jun 30, 2025 | 5.59 Mn |
| Mar 31, 2025 | 5.27 Mn |
| Dec 31, 2024 | 5.91 Mn |
| Sep 30, 2024 | 5.93 Mn |
| Jun 30, 2024 | 5.55 Mn |
| Mar 31, 2024 | 4.54 Mn |
| Dec 31, 2023 | -2.03 Mn |
| Sep 30, 2023 | 4.46 Mn |
| Jun 30, 2023 | 4.16 Mn |
| Mar 31, 2023 | 3.78 Mn |
| Dec 31, 2022 | 7.05 Mn |
| Sep 30, 2022 | 3.43 Mn |
| Jun 30, 2022 | 3.11 Mn |
| Mar 31, 2022 | 3.17 Mn |
| Dec 31, 2021 | 2.85 Mn |
| Sep 30, 2021 | 3.22 Mn |
Auburn National Bancorporation 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=ebitda&ticker=AUBN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=ebitda&ticker=AUBN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();