Msci (MSCI) Depreciation & Amortization - Total (2014 - 2026)
Msci (MSCI) posted Depreciation & Amortization - Total of $6.2 million for Q2 2026, up 14.8% from $5.4 million a year earlier and up 5.1% from the prior quarter.
Msci (MSCI) Depreciation & Amortization - Total (2014 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Depreciation & Amortization - Total at Msci was $25.37 million, up 35.0% year-over-year; for FY2025, it came in at $23.41 million, up 37.7% from FY2024.
- Annual Depreciation & Amortization - Total shows a five-year compound annual growth rate of -4.7% (FY2020 to FY2025).
- In prior years, Msci's Depreciation & Amortization - Total was $17 million in FY2024 (-19.1%), $21.01 million in FY2023 (-21.9%), $26.9 million in FY2022 (-6.9%) and $28.9 million in FY2021 (-3.0%).
- Quarterly Depreciation & Amortization - Total has run from a low of $4.08 million in Q1 2024 to a high of $7.93 million in Q4 2021 over five years.
- On a year-over-year basis, Depreciation & Amortization - Total has increased in each of the last six quarters, with growth averaging 19.5% over the last eight quarters.
- The strongest year-over-year quarter for Depreciation & Amortization - Total in the past five years was Q4 2025, with growth of 71.3%; the weakest was Q1 2024, with a decline of 25.8%.
- According to Business Quant data, Depreciation & Amortization - Total for the three prior quarters was $5.9 million (Q1 2026), $7.47 million (Q4 2025) and $5.8 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Tot) (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
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.20 Mn |
| Mar 31, 2026 | 5.90 Mn |
| Dec 31, 2025 | 7.47 Mn |
| Sep 30, 2025 | 5.80 Mn |
| Jun 30, 2025 | 5.40 Mn |
| Mar 31, 2025 | 4.70 Mn |
| Dec 31, 2024 | 4.36 Mn |
| Sep 30, 2024 | 4.33 Mn |
| Jun 30, 2024 | 4.23 Mn |
| Mar 31, 2024 | 4.08 Mn |
| Dec 31, 2023 | 5.10 Mn |
| Sep 30, 2023 | 5.30 Mn |
| Jun 30, 2023 | 5.20 Mn |
| Mar 31, 2023 | 5.50 Mn |
| Dec 31, 2022 | 6.47 Mn |
| Sep 30, 2022 | 7.13 Mn |
| Jun 30, 2022 | 6.80 Mn |
| Mar 31, 2022 | 6.53 Mn |
| Dec 31, 2021 | 7.93 Mn |
| Sep 30, 2021 | 6.81 Mn |
Msci Depreciation & Amortization - Total 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-amortization-total&ticker=MSCI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-total", "ticker": "MSCI", "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-amortization-total&ticker=MSCI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();