Moodys (MCO) Change in Property, Plant and Equipment (2009 - 2026)
Moodys' Change in Property, Plant and Equipment came in at -$85 million for Q3 2026, compared with -$85 million a year earlier.
Powered by 
Analysis
Moodys (MCO) Change in Property, Plant and Equipment (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Moodys reported Change in Property, Plant and Equipment of -$352 million; for FY2025, it was -$326 million.
- Going back by year, Change in Property, Plant and Equipment was -$317 million in FY2024, -$271 million in FY2023, -$283 million in FY2022 and -$139 million in FY2021.
- The five-year range for quarterly Change in Property, Plant and Equipment is -$95 million (Q1 2026) to -$54 million (Q2 2023).
- Business Quant data shows MCO's Change in Property, Plant and Equipment at -$91 million (Q2 2026), -$95 million (Q1 2026) and -$81 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in PP&E (Qtr) |
|---|---|---|---|---|---|
| 1 | Msci | 236.00 Bn | 234.48 Bn | 739.80 Mn | -13.40 Mn |
| 2 | S&P Global | 137.30 Bn | 132.50 Bn | 2.64 Bn | -28.00 Mn |
| 3 | Moodys | 87.63 Bn | 80.69 Bn | 1.50 Bn | -85.00 Mn |
| 4 | Verisk Analytics | 26.66 Bn | 22.85 Bn | 567.00 Mn | -67.20 Mn |
| 5 | Equifax | 22.03 Bn | 21.43 Bn | 940.10 Mn | -123.50 Mn |
| 6 | TransUnion | 15.46 Bn | 12.30 Bn | - | -66.90 Mn |
| 7 | Factset Research Systems | 11.73 Bn | 10.58 Bn | 308.40 Mn | -27.40 Mn |
| 8 | Morningstar | 9.14 Bn | 7.03 Bn | 431.40 Mn | -35.30 Mn |
| 9 | Mastercard | 572.29 Bn | 532.37 Bn | - | -222.00 Mn |
| 10 | Cme | 113.65 Bn | 101.99 Bn | 359.20 Mn | -15.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -85.00 Mn |
| Jun 30, 2026 | -91.00 Mn |
| Mar 31, 2026 | -95.00 Mn |
| Dec 31, 2025 | -81.00 Mn |
| Sep 30, 2025 | -85.00 Mn |
| Jun 30, 2025 | -75.00 Mn |
| Mar 31, 2025 | -85.00 Mn |
| Dec 31, 2024 | -74.00 Mn |
| Sep 30, 2024 | -72.00 Mn |
| Jun 30, 2024 | -93.00 Mn |
| Mar 31, 2024 | -78.00 Mn |
| Dec 31, 2023 | -73.00 Mn |
| Sep 30, 2023 | -71.00 Mn |
| Jun 30, 2023 | -54.00 Mn |
| Mar 31, 2023 | -73.00 Mn |
| Dec 31, 2022 | -79.00 Mn |
| Sep 30, 2022 | -71.00 Mn |
| Jun 30, 2022 | -74.00 Mn |
| Mar 31, 2022 | -59.00 Mn |
| Dec 31, 2021 | -62.00 Mn |
API Access
Moodys Change in Property, Plant and Equipment 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=change-in-property-plant-and-equipment&ticker=MCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-property-plant-and-equipment", "ticker": "MCO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=change-in-property-plant-and-equipment&ticker=MCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();