Trustco Bank Corp N Y (TRST) Professional Fees (2010 - 2026)
Analysis
Trustco Bank Corp N Y (TRST) Professional Fees (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.97 Mn |
| Mar 31, 2026 | 1.53 Mn |
| Dec 31, 2025 | 1.08 Mn |
| Sep 30, 2025 | 1.57 Mn |
| Jun 30, 2025 | 1.89 Mn |
| Mar 31, 2025 | 1.73 Mn |
| Dec 31, 2024 | 1.78 Mn |
| Sep 30, 2024 | 1.86 Mn |
| Jun 30, 2024 | 1.57 Mn |
| Mar 31, 2024 | 1.46 Mn |
| Dec 31, 2023 | 1.56 Mn |
| Sep 30, 2023 | 1.72 Mn |
| Jun 30, 2023 | 1.36 Mn |
| Mar 31, 2023 | 1.61 Mn |
| Dec 31, 2022 | 1.25 Mn |
| Sep 30, 2022 | 1.38 Mn |
| Jun 30, 2022 | 1.48 Mn |
| Mar 31, 2022 | 1.47 Mn |
| Dec 31, 2021 | 1.58 Mn |
| Sep 30, 2021 | 1.48 Mn |
API Access
Trustco Bank Corp N Y Professional Fees 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=professional-fees&ticker=TRST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "professional-fees", "ticker": "TRST", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=professional-fees&ticker=TRST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();