Northern Trust (NTRS) Receivables - Accured (2020 - 2026)
Northern Trust (NTRS) posted Receivables - Accured of $542.5 million for Q2 2026, up 9.6% from $495.2 million a year earlier and up 1.3% from the prior quarter.
Northern Trust (NTRS) Receivables - Accured (2020 - 2026) Analysis & Trends
At the end of FY2025, Northern Trust's Receivables - Accured came in at $498.7 million, up 0.2% from FY2024.
- Annual Receivables - Accured shows a five-year compound annual growth rate of 16.1% (FY2020 to FY2025).
- In prior years, Northern Trust's Receivables - Accured was $497.6 million in FY2024 (-5.9%), $528.9 million in FY2023 (+15.7%), $457.2 million in FY2022 (+103.2%) and $225 million in FY2021 (-5.0%).
- The Q2 2026 figure stands as the highest quarterly Receivables - Accured since Q3 2024.
- On a year-over-year basis, Receivables - Accured has increased in each of the last three quarters, with an average decline of 2.8% over the last eight quarters.
- The strongest year-over-year quarter for Receivables - Accured in the past five years was Q1 2023, with growth of 104.8%; the weakest was Q1 2025, with a decline of 17.6%.
- According to Business Quant data, Receivables - Accured for the three prior quarters was $535.7 million (Q1 2026), $498.7 million (Q4 2025) and $521.9 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables - Accured (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 104.70 Bn | 85.79 Bn | - | - |
| 2 | Bank of New York Mellon | 100.72 Bn | 40.09 Bn | - | 1.47 Bn |
| 3 | Cme | 94.58 Bn | 94.58 Bn | - | - |
| 4 | Intercontinental Exchange | 85.83 Bn | 79.63 Bn | - | - |
| 5 | Nasdaq | 52.05 Bn | 49.49 Bn | 1.50 Bn | - |
| 6 | State Street | 49.39 Bn | 49.39 Bn | - | 4.87 Bn |
| 7 | Interactive Brokers | 39.24 Bn | 32.69 Bn | - | 592.00 Mn |
| 8 | Northern Trust | 31.94 Bn | 31.94 Bn | - | 542.50 Mn |
| 9 | Cboe Global Markets | 26.47 Bn | 18.13 Bn | 731.60 Mn | - |
| 10 | LPL Financial Holdings | 24.62 Bn | 19.94 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 542.50 Mn |
| Mar 31, 2026 | 535.70 Mn |
| Dec 31, 2025 | 498.70 Mn |
| Sep 30, 2025 | 521.90 Mn |
| Jun 30, 2025 | 495.20 Mn |
| Mar 31, 2025 | 500.80 Mn |
| Dec 31, 2024 | 497.60 Mn |
| Sep 30, 2024 | 551.70 Mn |
| Jun 30, 2024 | 580.10 Mn |
| Mar 31, 2024 | 608.10 Mn |
| Dec 31, 2023 | 528.90 Mn |
| Sep 30, 2023 | 528.50 Mn |
| Jun 30, 2023 | 527.20 Mn |
| Mar 31, 2023 | 472.30 Mn |
| Dec 31, 2022 | 457.20 Mn |
| Sep 30, 2022 | 356.70 Mn |
| Jun 30, 2022 | 293.20 Mn |
| Mar 31, 2022 | 230.60 Mn |
| Dec 31, 2021 | 225.00 Mn |
| Sep 30, 2021 | 230.30 Mn |
Northern Trust Receivables - Accured 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=receivables-accured&ticker=NTRS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-accured", "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=receivables-accured&ticker=NTRS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();