Chemung Financial (CHMG) EBITDA (2010 - 2026)
Chemung Financial (CHMG) recorded EBITDA of $32 million in Q2 2026, up 102.9% from $15.77 million a year earlier and up 43.3% from the prior quarter.
Chemung Financial (CHMG) EBITDA (2010 - 2026) Analysis & Trends
On a TTM basis, Chemung Financial's EBITDA came in at $122.02 million as of Jun 30, 2026, up 16.3% year-over-year; for FY2025, it came in at $67.51 million, down 20.9% from FY2024.
- Annual EBITDA has a five-year compound annual growth rate of 16.6% (FY2020 to FY2025).
- Across earlier years, EBITDA came in at $85.4 million in FY2024 (+18.4%), $72.12 million in FY2023 (+55.3%), $46.43 million in FY2022 (+16.3%) and $39.92 million in FY2021 (+27.7%).
- Quarterly EBITDA has ranged from $9.65 million in Q4 2021 to $48.39 million in Q3 2024 over the past five years.
- On a year-over-year basis, EBITDA has increased for three consecutive quarters, with growth averaging 12.8% over the last eight quarters.
- Peak year-over-year performance for EBITDA in the last five years was growth of 241.1% in Q3 2023, against a decline of 52.9% in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $22.33 million (Q1 2026), $21.87 million (Q4 2025) and $45.83 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 54.95 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | -1,174.27 Bn |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 30.01 Bn |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | 21.67 Bn |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 18.88 Bn |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | 27.17 Bn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 20.89 Bn |
| 10 | Chemung Financial | 394.06 Mn | 109.83 Mn | - | 32.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 32.00 Mn |
| Mar 31, 2026 | 22.33 Mn |
| Dec 31, 2025 | 21.87 Mn |
| Sep 30, 2025 | 45.83 Mn |
| Jun 30, 2025 | 15.77 Mn |
| Mar 31, 2025 | 20.04 Mn |
| Dec 31, 2024 | 20.73 Mn |
| Sep 30, 2024 | 48.39 Mn |
| Jun 30, 2024 | 33.49 Mn |
| Mar 31, 2024 | 22.68 Mn |
| Dec 31, 2023 | 17.25 Mn |
| Sep 30, 2023 | 36.66 Mn |
| Jun 30, 2023 | 23.90 Mn |
| Mar 31, 2023 | 16.07 Mn |
| Dec 31, 2022 | 13.66 Mn |
| Sep 30, 2022 | 10.75 Mn |
| Jun 30, 2022 | 11.83 Mn |
| Mar 31, 2022 | 10.19 Mn |
| Dec 31, 2021 | 9.65 Mn |
| Sep 30, 2021 | 9.78 Mn |
Chemung Financial 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=CHMG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "CHMG", "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=CHMG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();