Morningstar (MORN) Property, Plant & Equipment (Net) (2009 - 2026)
Morningstar's Property, Plant & Equipment (Net) came in at $244.7 million for Q3 2026, up 8.3% from $225.9 million a year earlier and up 2.1% from the prior quarter.
Morningstar (MORN) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
At the end of FY2025, Morningstar's Property, Plant & Equipment (Net) was $231.9 million, up 5.9% from FY2024.
- Property, Plant & Equipment (Net) has increased in each of the last seven years, with a five-year compound annual growth rate of 8.4% (FY2020 to FY2025).
- Going back by year, Property, Plant & Equipment (Net) was $218.9 million in FY2024 (+5.4%), $207.7 million in FY2023 (+4.2%), $199.4 million in FY2022 (+16.1%) and $171.8 million in FY2021 (+10.8%).
- The Q3 2026 figure represents the highest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2009.
- Year-over-year, Property, Plant & Equipment (Net) has increased for 24 consecutive quarters, with growth averaging 6.3% over the last eight quarters.
- Over the past five years, the year-over-year growth in Property, Plant & Equipment (Net) ranged from 2.3% (Q2 2024) to 16.1% (Q4 2022).
- Business Quant data shows MORN's Property, Plant & Equipment (Net) at $239.6 million (Q2 2026), $234.8 million (Q1 2026) and $231.9 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Msci | 235.55 Bn | 234.03 Bn | 739.80 Mn | 99.10 Mn |
| 2 | S&P Global | 137.22 Bn | 132.42 Bn | 2.64 Bn | 233.00 Mn |
| 3 | Moodys | 88.04 Bn | 81.11 Bn | 1.50 Bn | 782.00 Mn |
| 4 | Verisk Analytics | 26.17 Bn | 22.36 Bn | 567.00 Mn | 616.20 Mn |
| 5 | Equifax | 22.05 Bn | 21.44 Bn | 940.10 Mn | 1.92 Bn |
| 6 | TransUnion | 15.64 Bn | 12.48 Bn | - | 241.20 Mn |
| 7 | Factset Research Systems | 11.49 Bn | 10.35 Bn | 308.40 Mn | 79.25 Mn |
| 8 | Morningstar | 9.15 Bn | 7.04 Bn | 431.40 Mn | 244.70 Mn |
| 9 | Mastercard | 570.55 Bn | 530.63 Bn | - | 2.64 Bn |
| 10 | Cme | 110.48 Bn | 98.81 Bn | 359.20 Mn | 338.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 244.70 Mn |
| Jun 30, 2026 | 239.60 Mn |
| Mar 31, 2026 | 234.80 Mn |
| Dec 31, 2025 | 231.90 Mn |
| Sep 30, 2025 | 225.90 Mn |
| Jun 30, 2025 | 225.60 Mn |
| Mar 31, 2025 | 221.60 Mn |
| Dec 31, 2024 | 218.90 Mn |
| Sep 30, 2024 | 212.40 Mn |
| Jun 30, 2024 | 210.30 Mn |
| Mar 31, 2024 | 210.80 Mn |
| Dec 31, 2023 | 207.70 Mn |
| Sep 30, 2023 | 204.30 Mn |
| Jun 30, 2023 | 205.60 Mn |
| Mar 31, 2023 | 201.50 Mn |
| Dec 31, 2022 | 199.40 Mn |
| Sep 30, 2022 | 187.80 Mn |
| Jun 30, 2022 | 182.70 Mn |
| Mar 31, 2022 | 176.50 Mn |
| Dec 31, 2021 | 171.80 Mn |
Morningstar Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=MORN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=MORN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();