S&P Global (SPGI) Property, Plant & Equipment (Net) (2009 - 2026)
S&P Global (SPGI) reported Property, Plant & Equipment (Net) of $233 million for Q3 2026, down 13.7% from $270 million a year earlier and down 8.3% from the prior quarter.
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Analysis
S&P Global (SPGI) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
At the end of FY2025, S&P Global posted Property, Plant & Equipment (Net) of $278 million, up 4.9% from FY2024.
- Property, Plant & Equipment (Net) has a five-year compound annual growth rate of -0.4% (FY2020 to FY2025).
- By year, Property, Plant & Equipment (Net) came in at $265 million in FY2024 (+2.7%), $258 million in FY2023 (-13.1%), $297 million in FY2022 (+23.2%) and $241 million in FY2021 (-15.1%).
- The Q3 2026 figure ranks as the lowest quarterly Property, Plant & Equipment (Net) since Q2 2015.
- Year over year, Property, Plant & Equipment (Net) has now declined in each of the last three quarters, with growth averaging 1.3% over the last eight quarters.
- The high point for year-over-year Property, Plant & Equipment (Net) in five years was Q2 2022 (growth of 23.9%); the low point was Q2 2023 (a decline of 22.3%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $254 million (Q2 2026), $261 million (Q1 2026) and $278 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Msci | 236.00 Bn | 234.48 Bn | 739.80 Mn | 99.10 Mn |
| 2 | S&P Global | 137.30 Bn | 132.50 Bn | 2.64 Bn | 233.00 Mn |
| 3 | Moodys | 87.63 Bn | 80.69 Bn | 1.50 Bn | 782.00 Mn |
| 4 | Verisk Analytics | 26.66 Bn | 22.85 Bn | 567.00 Mn | 616.20 Mn |
| 5 | Equifax | 22.03 Bn | 21.43 Bn | 940.10 Mn | 1.92 Bn |
| 6 | TransUnion | 15.46 Bn | 12.30 Bn | - | 241.20 Mn |
| 7 | Factset Research Systems | 11.73 Bn | 10.58 Bn | 308.40 Mn | 79.25 Mn |
| 8 | Morningstar | 9.14 Bn | 7.03 Bn | 431.40 Mn | 244.70 Mn |
| 9 | Mastercard | 572.29 Bn | 532.37 Bn | - | 2.64 Bn |
| 10 | Cme | 113.65 Bn | 101.99 Bn | 359.20 Mn | 338.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 233.00 Mn |
| Jun 30, 2026 | 254.00 Mn |
| Mar 31, 2026 | 261.00 Mn |
| Dec 31, 2025 | 259.00 Mn |
| Sep 30, 2025 | 270.00 Mn |
| Jun 30, 2025 | 275.00 Mn |
| Mar 31, 2025 | 266.00 Mn |
| Dec 31, 2024 | 265.00 Mn |
| Sep 30, 2024 | 252.00 Mn |
| Jun 30, 2024 | 248.00 Mn |
| Mar 31, 2024 | 247.00 Mn |
| Dec 31, 2023 | 258.00 Mn |
| Sep 30, 2023 | 254.00 Mn |
| Jun 30, 2023 | 258.00 Mn |
| Mar 31, 2023 | 281.00 Mn |
| Dec 31, 2022 | 297.00 Mn |
| Sep 30, 2022 | 305.00 Mn |
| Jun 30, 2022 | 332.00 Mn |
| Mar 31, 2022 | 348.00 Mn |
| Dec 31, 2021 | 241.00 Mn |
API Access
S&P Global 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=SPGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "SPGI", "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=SPGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();