Ameris Bancorp (ABCB) Cash from Operations (2010 - 2026)
Ameris Bancorp (ABCB) reported Cash from Operations of $79.42 million for Q2 2026, up 29.4% from $61.37 million a year earlier but down 69.1% from the prior quarter.
Ameris Bancorp (ABCB) Cash from Operations (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Ameris Bancorp's Cash from Operations came in at $548.53 million, up 33.5% year-over-year; for FY2025, it was $390.18 million, up 153.0% from FY2024.
- Cash from Operations has a five-year compound annual growth rate of -13.3% (FY2020 to FY2025).
- By year, Cash from Operations came in at $154.19 million in FY2024 (-72.9%), $568.96 million in FY2023 (-46.4%), $1.06 billion in FY2022 and $9.14 million in FY2021 (-98.9%).
- Five-year quarterly Cash from Operations spans a low of -$165.33 million in Q3 2021 and a high of $360.42 million in Q1 2022.
- Year over year, Cash from Operations gained in four of the last seven quarters, with growth averaging 86.0%.
- The high point for year-over-year Cash from Operations in five years was Q1 2025 (growth of 528.9%); the low point was Q1 2024 (a decline of 85.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $257.15 million (Q1 2026), $107.04 million (Q4 2025) and $104.92 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | -25.28 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 29.04 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | -2.75 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 25.17 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 6.11 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 6.78 Bn |
| 10 | Ameris Bancorp | 5.34 Bn | 5.34 Bn | - | 79.42 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 79.42 Mn |
| Mar 31, 2026 | 257.15 Mn |
| Dec 31, 2025 | 107.04 Mn |
| Sep 30, 2025 | 104.92 Mn |
| Jun 30, 2025 | 61.37 Mn |
| Mar 31, 2025 | 116.85 Mn |
| Dec 31, 2024 | 130.50 Mn |
| Sep 30, 2024 | 102.17 Mn |
| Jun 30, 2024 | -97.06 Mn |
| Mar 31, 2024 | 18.58 Mn |
| Dec 31, 2023 | 212.89 Mn |
| Sep 30, 2023 | 131.90 Mn |
| Jun 30, 2023 | 92.46 Mn |
| Mar 31, 2023 | 131.70 Mn |
| Dec 31, 2022 | -316,000.00 |
| Sep 30, 2022 | 348.92 Mn |
| Jun 30, 2022 | 353.45 Mn |
| Mar 31, 2022 | 360.42 Mn |
| Dec 31, 2021 | 266.69 Mn |
| Sep 30, 2021 | -165.33 Mn |
Ameris Bancorp Cash from Operations 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=cash-from-operations&ticker=ABCB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "ticker": "ABCB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=cash-from-operations&ticker=ABCB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();