Ames National (ATLO) Technology and Communications (2009 - 2026)
Ames National (ATLO) posted Technology and Communications of $1.41 million for Q3 2026, down 5.9% from $1.5 million a year earlier and down 7.4% from the prior quarter.
Ames National (ATLO) Technology and Communications (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Technology and Communications at Ames National was $5.9 million, down 1.3% year-over-year; for FY2025, it was $5.78 million, down 6.0% from FY2024.
- Annual Technology and Communications shows a five-year compound annual growth rate of 2.2% (FY2020 to FY2025).
- In prior years, Ames National's Technology and Communications was $6.15 million in FY2024 (+2.8%), $5.99 million in FY2023 (-2.7%), $6.15 million in FY2022 (+10.9%) and $5.55 million in FY2021 (+7.1%).
- The Q3 2026 figure stands as the lowest quarterly Technology and Communications since Q1 2025.
- On a year-over-year basis, Technology and Communications increased in four of the last eight quarters, with an average decline of 1.1%.
- The strongest year-over-year quarter for Technology and Communications in the past five years was Q2 2022, with growth of 27.3%; the weakest was Q4 2025, with a decline of 11.8%.
- According to Business Quant data, Technology and Communications for the three prior quarters was $1.52 million (Q2 2026), $1.49 million (Q1 2026) and $1.48 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Technology (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 3.34 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 2.01 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 1.30 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 284.73 Mn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 674.00 Mn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | - |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | Ames National | 301.77 Mn | -125.59 Mn | - | 1.41 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.41 Mn |
| Jun 30, 2026 | 1.52 Mn |
| Mar 31, 2026 | 1.49 Mn |
| Dec 31, 2025 | 1.48 Mn |
| Sep 30, 2025 | 1.50 Mn |
| Jun 30, 2025 | 1.46 Mn |
| Mar 31, 2025 | 1.35 Mn |
| Dec 31, 2024 | 1.67 Mn |
| Sep 30, 2024 | 1.48 Mn |
| Jun 30, 2024 | 1.57 Mn |
| Mar 31, 2024 | 1.44 Mn |
| Dec 31, 2023 | 1.59 Mn |
| Sep 30, 2023 | 1.50 Mn |
| Jun 30, 2023 | 1.58 Mn |
| Mar 31, 2023 | 1.32 Mn |
| Dec 31, 2022 | 1.56 Mn |
| Sep 30, 2022 | 1.49 Mn |
| Jun 30, 2022 | 1.67 Mn |
| Mar 31, 2022 | 1.43 Mn |
| Dec 31, 2021 | 1.56 Mn |
Ames National Technology and Communications 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=technology-and-communications&ticker=ATLO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "technology-and-communications", "ticker": "ATLO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=technology-and-communications&ticker=ATLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();