Northern Trust (NTRS) Non Operating Interest Expenses (2009 - 2024)
Northern Trust (NTRS) posted Non Operating Interest Expenses of $1.92 billion for Q1 2024, up 107.5% from $924.2 million a year earlier and up 11.7% from the prior quarter.
Northern Trust (NTRS) Non Operating Interest Expenses (2009 - 2024) Analysis & Trends
For the trailing twelve months through Mar 31, 2024, Non Operating Interest Expenses at Northern Trust was $6.34 billion, up 231.4% year-over-year; for FY2023, it came in at $5.34 billion, up 439.4% from FY2022.
- Annual Non Operating Interest Expenses shows a five-year compound annual growth rate of 50.2% (FY2018 to FY2023).
- In prior years, Northern Trust's Non Operating Interest Expenses was $990.5 million in FY2022, $23.8 million in FY2021 (-88.1%), $200.3 million in FY2020 (-75.6%) and $822 million in FY2019 (+17.6%).
- The Q1 2024 figure stands as the highest quarterly Non Operating Interest Expenses in data going back to Q1 2009.
- On a year-over-year basis, Non Operating Interest Expenses has increased in each of the last three quarters, with growth averaging 368.8% over the last four quarters.
- The strongest year-over-year quarter for Non Operating Interest Expenses in the past five years was Q2 2022, with growth of 781.3%; the weakest was Q1 2021, with a decline of 91.9%.
- According to Business Quant data, Non Operating Interest Expenses for the three prior quarters was $1.72 billion (Q4 2023), $1.48 billion (Q3 2023) and $1.22 billion (Q2 2023).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (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 | - | 43.60 Mn |
| 4 | Intercontinental Exchange | 85.35 Bn | 79.16 Bn | - | 205.00 Mn |
| 5 | Nasdaq | 51.71 Bn | 49.14 Bn | 1.50 Bn | 86.00 Mn |
| 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 | 13.20 Mn |
| 10 | LPL Financial Holdings | 24.08 Bn | 19.40 Bn | - | 101.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2024 | 1.92 Bn |
| Dec 31, 2023 | 1.72 Bn |
| Sep 30, 2023 | 1.48 Bn |
| Jun 30, 2023 | 1.22 Bn |
| Mar 31, 2023 | 924.20 Mn |
| Dec 31, 2022 | 635.60 Mn |
| Sep 30, 2022 | 286.30 Mn |
| Jun 30, 2022 | 66.10 Mn |
| Mar 31, 2022 | 2.50 Mn |
| Dec 31, 2021 | 1.60 Mn |
| Sep 30, 2021 | 4.90 Mn |
| Jun 30, 2021 | 7.50 Mn |
| Mar 31, 2021 | 9.80 Mn |
| Sep 30, 2020 | 26.80 Mn |
| Jun 30, 2020 | 34.20 Mn |
| Mar 31, 2020 | 121.10 Mn |
| Sep 30, 2019 | 203.10 Mn |
| Jun 30, 2019 | 222.80 Mn |
| Mar 31, 2019 | 240.80 Mn |
| Sep 30, 2018 | 191.00 Mn |
Northern Trust Non Operating Interest Expenses 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=non-operating-interest-expenses&ticker=NTRS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=NTRS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();