Morningstar (MORN) Property, Plant & Equipment (Net) (2009 - 2026)
Morningstar's Property, Plant & Equipment (Net) came in at $239.6 million for Q2 2026, up 6.2% from $225.6 million a year earlier and up 2.0% 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 Q2 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 23 consecutive quarters, with growth averaging 5.8% 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 $234.8 million (Q1 2026), $231.9 million (Q4 2025) and $225.9 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 113.90 Bn | 109.50 Bn | 2.98 Bn | 254.00 Mn |
| 2 | Moodys | 76.48 Bn | 68.91 Bn | 1.67 Bn | 754.00 Mn |
| 3 | Msci | 38.99 Bn | 37.33 Bn | 717.10 Mn | 93.20 Mn |
| 4 | Verisk Analytics | 21.33 Bn | 15.96 Bn | 572.90 Mn | 580.60 Mn |
| 5 | Equifax | 16.47 Bn | 15.87 Bn | 926.40 Mn | 1.93 Bn |
| 6 | TransUnion | 12.16 Bn | 9.14 Bn | - | 270.90 Mn |
| 7 | Factset Research Systems | 9.52 Bn | 8.28 Bn | 310.73 Mn | 82.32 Mn |
| 8 | Morningstar | 6.89 Bn | 4.79 Bn | 423.90 Mn | 239.60 Mn |
| 9 | Mastercard | 480.84 Bn | 440.75 Bn | - | 2.54 Bn |
| 10 | Cme | 94.54 Bn | 94.54 Bn | - | 351.20 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 165.40 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();