S&P Global (SPGI) Depreciation and Depletion (2009 - 2026)
S&P Global's Depreciation and Depletion was $32 million in Q2 2026, up 23.1% from $26 million a year earlier and up 3.2% from the prior quarter.
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Analysis
S&P Global (SPGI) Depreciation and Depletion (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, S&P Global's Depreciation and Depletion was $122 million through Jun 30, 2026, up 23.2% year-over-year; for FY2025, it was $110 million, up 14.6% from FY2024.
- Depreciation and Depletion shows a five-year compound annual growth rate of 5.8% (FY2020 to FY2025).
- In earlier years, Depreciation and Depletion was $96 million in FY2024 (-5.0%), $101 million in FY2023 (-6.5%), $108 million in FY2022 (+31.7%) and $82 million in FY2021 (-1.2%).
- The Q2 2026 figure marks the highest quarterly Depreciation and Depletion since Q2 2022.
- Compared with a year earlier, Depreciation and Depletion has increased for six straight quarters, with growth averaging 11.6% over the last eight quarters.
- The best year-over-year quarter for Depreciation and Depletion over five years was Q4 2023 (growth of 100.0%); the worst was Q2 2023 (a decline of 33.3%).
- Per Business Quant data, SPGI's Depreciation and Depletion in the three quarters before Q2 2026 was $31 million (Q1 2026), $31 million (Q4 2025) and $28 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 116.38 Bn | 111.98 Bn | 2.98 Bn | 32.00 Mn |
| 2 | Moodys | 78.67 Bn | 71.10 Bn | 1.67 Bn | - |
| 3 | Msci | 39.16 Bn | 37.50 Bn | 717.10 Mn | 6.20 Mn |
| 4 | Verisk Analytics | 21.84 Bn | 16.48 Bn | 572.90 Mn | - |
| 5 | Equifax | 16.14 Bn | 15.54 Bn | 926.40 Mn | - |
| 6 | TransUnion | 11.72 Bn | 8.70 Bn | - | - |
| 7 | Factset Research Systems | 9.66 Bn | 8.43 Bn | 310.73 Mn | - |
| 8 | Morningstar | 7.13 Bn | 5.03 Bn | 423.90 Mn | 32.70 Mn |
| 9 | Mastercard | 480.27 Bn | 440.19 Bn | - | - |
| 10 | Cme | 94.12 Bn | 94.12 Bn | - | 28.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 32.00 Mn |
| Mar 31, 2026 | 31.00 Mn |
| Dec 31, 2025 | 31.00 Mn |
| Sep 30, 2025 | 28.00 Mn |
| Jun 30, 2025 | 26.00 Mn |
| Mar 31, 2025 | 25.00 Mn |
| Dec 31, 2024 | 26.00 Mn |
| Sep 30, 2024 | 22.00 Mn |
| Jun 30, 2024 | 25.00 Mn |
| Mar 31, 2024 | 23.00 Mn |
| Dec 31, 2023 | 30.00 Mn |
| Sep 30, 2023 | 22.00 Mn |
| Jun 30, 2023 | 24.00 Mn |
| Mar 31, 2023 | 25.00 Mn |
| Dec 31, 2022 | 15.00 Mn |
| Sep 30, 2022 | 31.00 Mn |
| Jun 30, 2022 | 36.00 Mn |
| Mar 31, 2022 | 26.00 Mn |
| Dec 31, 2021 | 19.00 Mn |
| Sep 30, 2021 | 20.00 Mn |
API Access
S&P Global Depreciation and Depletion 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=depreciation-and-depletion&ticker=SPGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=SPGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();