Northern Trust (NTRS) Interest Expense - Fed Funds (2009 - 2026)
Northern Trust (NTRS) posted Interest Expense - Fed Funds of $769.8 million for Q2 2026, up 13.1% from $680.6 million a year earlier but down 4.3% from the prior quarter.
Northern Trust (NTRS) Interest Expense - Fed Funds (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Interest Expense - Fed Funds at Northern Trust was $2.98 billion, up 0.5% year-over-year; for FY2025, it came in at $2.76 billion, down 15.8% from FY2024.
- Annual Interest Expense - Fed Funds shows a five-year compound annual growth rate of 316.7% (FY2020 to FY2025).
- In prior years, Northern Trust's Interest Expense - Fed Funds was $3.28 billion in FY2024 (+112.9%), $1.54 billion in FY2023, $90.7 million in FY2022 and -$400,000 in FY2021.
- Quarterly Interest Expense - Fed Funds has run from a low of $100,000 in Q3 2021 to a high of $869.7 million in Q3 2024 over five years.
- On a year-over-year basis, Interest Expense - Fed Funds increased in four of the last eight quarters, with growth averaging 8.7%.
- The strongest year-over-year quarter for Interest Expense - Fed Funds in the past five years was Q1 2024, with growth of 601.0%; the weakest was Q3 2025, with a decline of 20.1%.
- According to Business Quant data, Interest Expense - Fed Funds for the three prior quarters was $804.4 million (Q1 2026), $714.4 million (Q4 2025) and $695 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Robinhood Markets | 101.14 Bn | 82.23 Bn | - |
| 2 | Bank of New York Mellon | 98.14 Bn | 37.51 Bn | - |
| 3 | Cme | 94.12 Bn | 94.12 Bn | - |
| 4 | Intercontinental Exchange | 85.35 Bn | 79.16 Bn | - |
| 5 | Nasdaq | 51.71 Bn | 49.14 Bn | 1.50 Bn |
| 6 | State Street | 47.94 Bn | 47.94 Bn | - |
| 7 | Interactive Brokers | 38.49 Bn | 31.95 Bn | - |
| 8 | Northern Trust | 30.99 Bn | 30.99 Bn | - |
| 9 | Cboe Global Markets | 28.76 Bn | 20.41 Bn | 731.60 Mn |
| 10 | LPL Financial Holdings | 24.08 Bn | 19.40 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 769.80 Mn |
| Mar 31, 2026 | 804.40 Mn |
| Dec 31, 2025 | 714.40 Mn |
| Sep 30, 2025 | 695.00 Mn |
| Jun 30, 2025 | 680.60 Mn |
| Mar 31, 2025 | 673.20 Mn |
| Dec 31, 2024 | 745.30 Mn |
| Sep 30, 2024 | 869.70 Mn |
| Jun 30, 2024 | 851.50 Mn |
| Mar 31, 2024 | 813.90 Mn |
| Dec 31, 2023 | 697.60 Mn |
| Sep 30, 2023 | 454.00 Mn |
| Jun 30, 2023 | 273.40 Mn |
| Mar 31, 2023 | 116.10 Mn |
| Dec 31, 2022 | 58.90 Mn |
| Sep 30, 2022 | 25.50 Mn |
| Jun 30, 2022 | 6.00 Mn |
| Mar 31, 2022 | 300,000.00 |
| Sep 30, 2021 | 100,000.00 |
| Jun 30, 2021 | -500,000.00 |
Northern Trust Interest Expense - Fed Funds 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=interest-expense-fed-funds&ticker=NTRS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expense-fed-funds", "ticker": "NTRS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=interest-expense-fed-funds&ticker=NTRS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();