Trustco Bank Corp N Y (TRST) Provision for Losses (2011 - 2026)
Trustco Bank Corp N Y (TRST) posted Provision for Losses of $650,000 for Q2 2026, unchanged from $650,000 a year earlier and down 31.6% from the prior quarter.
Trustco Bank Corp N Y (TRST) Provision for Losses (2011 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Provision for Losses at Trustco Bank Corp N Y was $2.25 million, up 21.6% year-over-year; for FY2025, it came in at $1.6 million, down 20.0% from FY2024.
- Annual Provision for Losses shows a five-year compound annual growth rate of -22.2% (FY2020 to FY2025).
- In prior years, Trustco Bank Corp N Y's Provision for Losses was $2 million in FY2024 (+60.0%), $1.25 million in FY2023, -$341,000 in FY2022 and -$5.45 million in FY2021.
- Quarterly Provision for Losses has run from a low of -$3 million in Q4 2021 to a high of $1.35 million in Q4 2023 over five years.
- On a year-over-year basis, Provision for Losses increased in three of the last eight quarters, with growth averaging 59.5%.
- The strongest year-over-year quarter for Provision for Losses in the past five years was Q3 2024, with growth of 400.0%; the weakest was Q4 2024, with a decline of 70.4%.
- According to Business Quant data, Provision for Losses for the three prior quarters was $950,000 (Q1 2026), $400,000 (Q4 2025) and $250,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provision for Losses (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 918.91 Bn | 918.91 Bn | - | 2.74 Bn |
| 2 | Banco Santander Chile | 870.35 Bn | 846.93 Bn | - | - |
| 3 | Bank Of America | 358.55 Bn | -2,017.56 Bn | - | 1.30 Bn |
| 4 | Hsbc Holdings | 315.74 Bn | -668.95 Bn | - | - |
| 5 | Morgan Stanley | 290.88 Bn | -253.14 Bn | - | - |
| 6 | Royal Bank Of Canada | 287.92 Bn | 137.98 Bn | - | - |
| 7 | Goldman Sachs | 270.57 Bn | -3,472.88 Bn | - | 368.00 Mn |
| 8 | Wells Fargo & Company | 258.79 Bn | 258.79 Bn | - | 1.03 Bn |
| 9 | Mitsubishi Ufj Financial | 247.94 Bn | 129.81 Bn | - | - |
| 10 | Trustco Bank Corp N Y | 1.01 Bn | -1.88 Bn | - | 650,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 650,000.00 |
| Mar 31, 2026 | 950,000.00 |
| Dec 31, 2025 | 400,000.00 |
| Sep 30, 2025 | 250,000.00 |
| Jun 30, 2025 | 650,000.00 |
| Mar 31, 2025 | 300,000.00 |
| Dec 31, 2024 | 400,000.00 |
| Sep 30, 2024 | 500,000.00 |
| Jun 30, 2024 | 500,000.00 |
| Mar 31, 2024 | 600,000.00 |
| Dec 31, 2023 | 1.35 Mn |
| Sep 30, 2023 | 100,000.00 |
| Jun 30, 2023 | -500,000.00 |
| Mar 31, 2023 | 300,000.00 |
| Dec 31, 2022 | 50,000.00 |
| Sep 30, 2022 | 300,000.00 |
| Jun 30, 2022 | -491,000.00 |
| Mar 31, 2022 | -200,000.00 |
| Dec 31, 2021 | -3.00 Mn |
| Sep 30, 2021 | -2.80 Mn |
Trustco Bank Corp N Y Provision for Losses 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=provision-for-losses&ticker=TRST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-losses", "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=provision-for-losses&ticker=TRST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();