Northern Trust (NTRS) Other Operating Expenses (2009 - 2026)
Northern Trust's Other Operating Expenses came in at $594.2 million for Q2 2026, up 140.6% from $247 million a year earlier and up 151.0% from the prior quarter.
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Analysis
Northern Trust (NTRS) Other Operating Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Northern Trust reported Other Operating Expenses of $1.33 billion, up 64.2% year-over-year; for FY2025, it came in at $988.5 million, down 14.6% from FY2024.
- Other Operating Expenses carries a five-year compound annual growth rate of 5.3% (FY2020 to FY2025).
- Going back by year, Other Operating Expenses was $1.16 billion in FY2024 (+27.7%), $906.5 million in FY2023 (+3.0%), $880.3 million in FY2022 (+3.6%) and $849.4 million in FY2021 (+11.3%).
- The Q2 2026 figure represents the highest quarterly Other Operating Expenses since Q2 2024.
- Year-over-year, Other Operating Expenses increased in four of the last eight quarters, with growth averaging 39.9%.
- The fastest year-over-year change in Other Operating Expenses over five years came in Q4 2025 (growth of 314.2%), and the weakest in Q4 2024 (a decline of 74.5%).
- Business Quant data shows NTRS's Other Operating Expenses at $236.7 million (Q1 2026), $248.1 million (Q4 2025) and $248.2 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 594.20 Mn |
| Mar 31, 2026 | 236.70 Mn |
| Dec 31, 2025 | 248.10 Mn |
| Sep 30, 2025 | 248.20 Mn |
| Jun 30, 2025 | 247.00 Mn |
| Mar 31, 2025 | 245.20 Mn |
| Dec 31, 2024 | 59.90 Mn |
| Sep 30, 2024 | 256.30 Mn |
| Jun 30, 2024 | 924.70 Mn |
| Mar 31, 2024 | 229.30 Mn |
| Dec 31, 2023 | 235.20 Mn |
| Sep 30, 2023 | 229.60 Mn |
| Jun 30, 2023 | 230.90 Mn |
| Mar 31, 2023 | 210.80 Mn |
| Dec 31, 2022 | 232.90 Mn |
| Sep 30, 2022 | 220.90 Mn |
| Jun 30, 2022 | 213.10 Mn |
| Mar 31, 2022 | 213.40 Mn |
| Dec 31, 2021 | 224.20 Mn |
| Sep 30, 2021 | 210.70 Mn |
API Access
Northern Trust Other Operating 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=other-operating-expenses&ticker=NTRS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=NTRS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();