Moodys (MCO) Property, Plant & Equipment (Net) (2009 - 2026)
Moodys (MCO) recorded Property, Plant & Equipment (Net) of $754 million in Q2 2026, up 9.4% from $689 million a year earlier and up 2.6% from the prior quarter.
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Analysis
Moodys (MCO) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
At the end of FY2025, Moodys reported Property, Plant & Equipment (Net) of $722 million, up 10.1% from FY2024.
- Annual Property, Plant & Equipment (Net) has increased for five straight years, with a five-year compound annual growth rate of 21.0% (FY2020 to FY2025).
- Across earlier years, Property, Plant & Equipment (Net) came in at $656 million in FY2024 (+8.8%), $603 million in FY2023 (+20.1%), $502 million in FY2022 (+44.7%) and $347 million in FY2021 (+24.8%).
- The Q2 2026 figure is the highest quarterly Property, Plant & Equipment (Net) in data going back to Q2 2009.
- On a year-over-year basis, Property, Plant & Equipment (Net) has increased for 20 consecutive quarters, with growth averaging 9.5% over the last eight quarters.
- The year-over-year growth in Property, Plant & Equipment (Net) has ranged between 5.7% (Q2 2025) and 56.8% (Q3 2022) over the last five years.
- Per Business Quant, the preceding three quarters came in at $735 million (Q1 2026), $722 million (Q4 2025) and $712 million (Q3 2025).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 754.00 Mn |
| Mar 31, 2026 | 735.00 Mn |
| Dec 31, 2025 | 722.00 Mn |
| Sep 30, 2025 | 712.00 Mn |
| Jun 30, 2025 | 689.00 Mn |
| Mar 31, 2025 | 671.00 Mn |
| Dec 31, 2024 | 656.00 Mn |
| Sep 30, 2024 | 662.00 Mn |
| Jun 30, 2024 | 652.00 Mn |
| Mar 31, 2024 | 613.00 Mn |
| Dec 31, 2023 | 603.00 Mn |
| Sep 30, 2023 | 573.00 Mn |
| Jun 30, 2023 | 541.00 Mn |
| Mar 31, 2023 | 525.00 Mn |
| Dec 31, 2022 | 502.00 Mn |
| Sep 30, 2022 | 472.00 Mn |
| Jun 30, 2022 | 433.00 Mn |
| Mar 31, 2022 | 381.00 Mn |
| Dec 31, 2021 | 347.00 Mn |
| Sep 30, 2021 | 301.00 Mn |
API Access
Moodys 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=MCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=MCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();