Northern Trust Corp (NTRS) Rent Expense (2009 - 2026)
Northern Trust (NTRS) recorded Rent Expense of $53.5 million in Q2 2026, up 1.9% from $52.5 million a year earlier and up 4.3% from the prior quarter.
Northern Trust Corp (NTRS) Rent Expense (2009 - 2026) Analysis & Trends
On a TTM basis, Northern Trust's Rent Expense came in at $216.2 million as of Jun 30, 2026, up 1.1% year-over-year; for FY2025, it came in at $217.3 million, up 0.2% from FY2024.
- Annual Rent Expense has a five-year compound annual growth rate of -1.1% (FY2020 to FY2025).
- Across earlier years, Rent Expense came in at $216.8 million in FY2024 (-6.7%), $232.3 million in FY2023 (+6.0%), $219.1 million in FY2022 (+5.0%) and $208.7 million in FY2021 (-9.3%).
- Quarterly Rent Expense has ranged from $51 million in Q2 2022 to $65.7 million in Q4 2022 over the past five years.
- On a year-over-year basis, Rent Expense rose in three of the last eight quarters, with an average decline of 2.1%.
- Peak year-over-year performance for Rent Expense in the last five years was growth of 26.8% in Q4 2022, against a decline of 22.9% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $51.3 million (Q1 2026), $56.4 million (Q4 2025) and $55 million (Q3 2025).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 53.50 Mn |
| Mar 31, 2026 | 51.30 Mn |
| Dec 31, 2025 | 56.40 Mn |
| Sep 30, 2025 | 55.00 Mn |
| Jun 30, 2025 | 52.50 Mn |
| Mar 31, 2025 | 53.40 Mn |
| Dec 31, 2024 | 54.10 Mn |
| Sep 30, 2024 | 53.80 Mn |
| Jun 30, 2024 | 54.80 Mn |
| Mar 31, 2024 | 54.10 Mn |
| Dec 31, 2023 | 58.50 Mn |
| Sep 30, 2023 | 58.70 Mn |
| Jun 30, 2023 | 53.80 Mn |
| Mar 31, 2023 | 61.30 Mn |
| Dec 31, 2022 | 65.70 Mn |
| Sep 30, 2022 | 51.30 Mn |
| Jun 30, 2022 | 51.00 Mn |
| Mar 31, 2022 | 51.10 Mn |
| Dec 31, 2021 | 51.80 Mn |
| Sep 30, 2021 | 53.90 Mn |
Northern Trust Corp Rent Expense 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=rent-expense&ticker=NTRS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "rent-expense", "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=rent-expense&ticker=NTRS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();