S&P Global (SPGI) Property, Plant & Equipment (Net) (2009 - 2026)
S&P Global (SPGI) reported Property, Plant & Equipment (Net) of $254 million for Q2 2026, down 7.6% from $275 million a year earlier and down 2.7% 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 Q2 2026 figure ranks as the lowest quarterly Property, Plant & Equipment (Net) since Q3 2024.
- Year over year, Property, Plant & Equipment (Net) gained in five of the last eight quarters, with growth averaging 2.9%.
- 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 Q2 2026 came in at $261 million (Q1 2026), $278 million (Q4 2025) and $270 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 | 254.00 Mn |
| Mar 31, 2026 | 261.00 Mn |
| Dec 31, 2025 | 278.00 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 |
| Sep 30, 2021 | 256.00 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();