State Street (STT) Provision for Credit Losses (2009 - 2026)
State Street's Provision for Credit Losses was -$4 million in Q3 2026, compared with $9 million a year earlier.
State Street (STT) Provision for Credit Losses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, State Street's Provision for Credit Losses was $71 million through Sep 30, 2026, up 12.7% year-over-year; for FY2025, it was $59 million, down 21.3% from FY2024.
- Provision for Credit Losses shows a five-year compound annual growth rate of -7.7% (FY2020 to FY2025).
- In earlier years, Provision for Credit Losses was $75 million in FY2024 (+63.0%), $46 million in FY2023 (+130.0%), $20 million in FY2022 and -$33 million in FY2021.
- The Q3 2026 figure marks the lowest quarterly Provision for Credit Losses since Q2 2023.
- Compared with a year earlier, Provision for Credit Losses was higher in three of the last six quarters, with growth averaging 77.3%.
- The best year-over-year quarter for Provision for Credit Losses over five years was Q4 2025 (growth of 391.7%); the worst was Q3 2025 (a decline of 65.4%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provisions (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 113.65 Bn | 101.99 Bn | 359.20 Mn | - |
| 2 | Bank of New York Mellon | 103.23 Bn | 37.32 Bn | - | 1.00 Mn |
| 3 | Intercontinental Exchange | 99.60 Bn | 93.42 Bn | 1.22 Bn | - |
| 4 | Robinhood Markets | 70.15 Bn | 49.76 Bn | - | - |
| 5 | Nasdaq | 60.57 Bn | 58.01 Bn | 1.48 Bn | - |
| 6 | State Street | 47.32 Bn | 43.94 Bn | - | -4.00 Mn |
| 7 | Cboe Global Markets | 39.19 Bn | 29.68 Bn | 712.20 Mn | - |
| 8 | Interactive Brokers | 37.06 Bn | 20.72 Bn | - | - |
| 9 | Northern Trust | 32.28 Bn | 32.28 Bn | - | 3.60 Mn |
| 10 | Tradeweb Markets | 30.81 Bn | 23.33 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -4.00 Mn |
| Mar 31, 2026 | 16.00 Mn |
| Dec 31, 2025 | 59.00 Mn |
| Sep 30, 2025 | 9.00 Mn |
| Jun 30, 2025 | 30.00 Mn |
| Mar 31, 2025 | 12.00 Mn |
| Dec 31, 2024 | 12.00 Mn |
| Sep 30, 2024 | 26.00 Mn |
| Jun 30, 2024 | 10.00 Mn |
| Mar 31, 2024 | 27.00 Mn |
| Dec 31, 2023 | 20.00 Mn |
| Jun 30, 2023 | -18.00 Mn |
| Mar 31, 2023 | 44.00 Mn |
| Dec 31, 2022 | 10.00 Mn |
| Jun 30, 2022 | 10.00 Mn |
| Dec 31, 2021 | -7.00 Mn |
| Sep 30, 2021 | -2.00 Mn |
| Jun 30, 2021 | -15.00 Mn |
| Mar 31, 2021 | -9.00 Mn |
| Jun 30, 2020 | 52.00 Mn |
State Street Provision for Credit 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-credit-losses&ticker=STT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-credit-losses", "ticker": "STT", "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-credit-losses&ticker=STT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();