Tompkins Financial (TMP) Revenue (2010 - 2026)
Tompkins Financial (TMP) posted Revenue of $87.12 million for Q2 2026, up 5.4% from $82.64 million a year earlier and up 4.1% from the prior quarter.
Tompkins Financial (TMP) Revenue (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Revenue at Tompkins Financial was $453.08 million, up 42.5% year-over-year; for FY2025, it was $446.6 million, up 49.3% from FY2024.
- Annual Revenue shows a five-year compound annual growth rate of 8.3% (FY2020 to FY2025).
- In prior years, Tompkins Financial's Revenue was $299.23 million in FY2024 (+36.2%), $219.76 million in FY2023 (-28.7%), $308.25 million in FY2022 (+1.9%) and $302.64 million in FY2021 (+1.2%).
- Quarterly Revenue has run from a low of $9.39 million in Q3 2023 to a high of $194.82 million in Q4 2025 over five years.
- On a year-over-year basis, Revenue has increased in each of the last nine quarters, with growth averaging 115.6% over the last eight quarters.
- The strongest year-over-year quarter for Revenue in the past five years was Q3 2024, with growth of 715.6%; the weakest was Q3 2023, with a decline of 88.1%.
- According to Business Quant data, Revenue for the three prior quarters was $83.7 million (Q1 2026), $194.82 million (Q4 2025) and $87.44 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 896.53 Bn | 896.53 Bn | - | 50.17 Bn |
| 2 | Bank Of America | 354.20 Bn | -2,021.91 Bn | - | 29.96 Bn |
| 3 | Hsbc Holdings | 303.54 Bn | -1,800.05 Bn | - | 18.62 Bn |
| 4 | Royal Bank Of Canada | 283.29 Bn | -546.75 Bn | - | 13.30 Bn |
| 5 | Morgan Stanley | 281.19 Bn | -262.84 Bn | - | 20.34 Bn |
| 6 | Goldman Sachs | 256.26 Bn | -3,487.19 Bn | - | 18.68 Bn |
| 7 | Wells Fargo & Company | 253.33 Bn | 253.33 Bn | - | 21.87 Bn |
| 8 | Mitsubishi Ufj Financial | 238.77 Bn | -102.62 Bn | 10.89 Bn | 9.94 Bn |
| 9 | American Express | 216.03 Bn | 15.51 Bn | - | 20.06 Bn |
| 10 | Tompkins Financial | 1.43 Bn | 1.43 Bn | - | 89.85 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 89.85 Mn |
| Jun 30, 2026 | 87.12 Mn |
| Mar 31, 2026 | 83.70 Mn |
| Dec 31, 2025 | 194.82 Mn |
| Sep 30, 2025 | 87.44 Mn |
| Jun 30, 2025 | 82.64 Mn |
| Mar 31, 2025 | 81.69 Mn |
| Dec 31, 2024 | 77.11 Mn |
| Sep 30, 2024 | 76.58 Mn |
| Jun 30, 2024 | 72.73 Mn |
| Mar 31, 2024 | 72.81 Mn |
| Dec 31, 2023 | 71.21 Mn |
| Sep 30, 2023 | 9.39 Mn |
| Jun 30, 2023 | 64.51 Mn |
| Mar 31, 2023 | 74.65 Mn |
| Dec 31, 2022 | 75.65 Mn |
| Sep 30, 2022 | 78.80 Mn |
| Jun 30, 2022 | 77.21 Mn |
| Mar 31, 2022 | 76.60 Mn |
| Dec 31, 2021 | 76.97 Mn |
Tompkins Financial Revenue 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=revenue&ticker=TMP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "ticker": "TMP", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=revenue&ticker=TMP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();