State Street (STT) Provision for Losses (2020 - 2026)
State Street (STT) recorded Provision for Losses of $16 million in Q1 2026, up 33.3% from $12 million a year earlier but down 72.9% from the prior quarter.
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Analysis
State Street (STT) Provision for Losses (2020 - 2026) Analysis & Trends
For FY2025, State Street reported Provision for Losses of $59 million, down 21.3% from FY2024.
- Annual Provision for Losses has a five-year compound annual growth rate of -7.7% (FY2020 to FY2025).
- Across earlier years, Provision for Losses came in at $75 million in FY2024 (+63.0%), $46 million in FY2023 (+130.0%), $20 million in FY2022 and -$33 million in FY2021.
- Quarterly Provision for Losses has ranged from -$18 million in Q2 2023 to $59 million in Q4 2025 over the past five years.
- On a year-over-year basis, Provision for Losses rose in three of the last six quarters, with growth averaging 77.3%.
- Peak year-over-year performance for Provision for Losses in the last five years was growth of 391.7% in Q4 2025, against a decline of 65.4% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $59 million (Q4 2025), $9 million (Q3 2025) and $30 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provision for Losses (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 | - | 5.40 Mn |
| 10 | Tradeweb Markets | 30.81 Bn | 23.33 Bn | - | - |
Historic Data
Download Data
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 |
API Access
State Street 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=STT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-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-losses&ticker=STT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();