Morningstar (MORN) Notes Payables (2014 - 2026)
Morningstar (MORN) reported Notes Payables of $18.2 million for Q2 2026, unchanged from the prior quarter.
Analysis
Morningstar (MORN) Notes Payables (2014 - 2026) Analysis & Trends
At the end of FY2023, Morningstar posted Notes Payables of $32.1 million, unchanged from FY2022.
- Notes Payables has a four-year compound annual growth rate of 30.7% (FY2019 to FY2023).
- By year, Notes Payables came in at $32.1 million in FY2022 and $11 million in FY2019.
- Five-year quarterly Notes Payables spans a low of $18.2 million in Q1 2026 and a high of $32.1 million in Q1 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | S&P Global | 116.38 Bn | 111.98 Bn | 2.98 Bn |
| 2 | Moodys | 78.67 Bn | 71.10 Bn | 1.67 Bn |
| 3 | Msci | 39.16 Bn | 37.50 Bn | 717.10 Mn |
| 4 | Verisk Analytics | 21.84 Bn | 16.48 Bn | 572.90 Mn |
| 5 | Equifax | 16.14 Bn | 15.54 Bn | 926.40 Mn |
| 6 | TransUnion | 11.72 Bn | 8.70 Bn | - |
| 7 | Factset Research Systems | 9.66 Bn | 8.43 Bn | 310.73 Mn |
| 8 | Morningstar | 7.13 Bn | 5.03 Bn | 423.90 Mn |
| 9 | Mastercard | 480.27 Bn | 440.19 Bn | - |
| 10 | Cme | 94.12 Bn | 94.12 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.20 Mn |
| Mar 31, 2026 | 18.20 Mn |
| Mar 31, 2024 | 32.10 Mn |
| Dec 31, 2023 | 32.10 Mn |
| Sep 30, 2023 | 32.10 Mn |
| Jun 30, 2023 | 32.10 Mn |
| Mar 31, 2023 | 32.10 Mn |
| Dec 31, 2022 | 32.10 Mn |
| Sep 30, 2022 | 32.10 Mn |
| Jun 30, 2022 | 29.40 Mn |
| Sep 30, 2020 | 11.00 Mn |
| Jun 30, 2020 | 11.00 Mn |
| Mar 31, 2020 | 11.00 Mn |
| Dec 31, 2019 | 11.00 Mn |
| Sep 30, 2016 | 60.00 Mn |
| Jun 30, 2016 | 75.00 Mn |
| Mar 31, 2016 | 75.00 Mn |
| Dec 31, 2015 | 35.00 Mn |
| Jun 30, 2015 | 35.00 Mn |
| Mar 31, 2015 | 45.00 Mn |
API Access
Morningstar Notes Payables 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=notes-payables&ticker=MORN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "notes-payables", "ticker": "MORN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=notes-payables&ticker=MORN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();