Msci (MSCI) Cash & Equivalents (2009 - 2026)
Msci (MSCI) recorded Cash & Equivalents of $356.4 million in Q2 2026, up 2.6% from $347.32 million a year earlier but down 7.5% from the prior quarter.
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Analysis
Msci (MSCI) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Msci reported Cash & Equivalents of $515.3 million, up 25.9% from FY2024.
- Annual Cash & Equivalents has a five-year compound annual growth rate of -16.9% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $409.35 million in FY2024 (-11.3%), $461.69 million in FY2023 (-53.5%), $993.56 million in FY2022 (-30.1%) and $1.42 billion in FY2021 (+9.3%).
- Quarterly Cash & Equivalents has ranged from $347.32 million in Q2 2025 to $1.42 billion in Q4 2021 over the past five years.
- On a year-over-year basis, Cash & Equivalents has increased for three consecutive quarters, with an average decline of 12.0% over the last eight quarters.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 59.1% in Q1 2023, against a decline of 61.1% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $385.3 million (Q1 2026), $515.3 million (Q4 2025) and $400.09 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 113.90 Bn | 109.50 Bn | 2.98 Bn | 4.13 Bn |
| 2 | Moodys | 76.48 Bn | 68.91 Bn | 1.67 Bn | 1.47 Bn |
| 3 | Msci | 38.99 Bn | 37.33 Bn | 717.10 Mn | 356.40 Mn |
| 4 | Verisk Analytics | 21.33 Bn | 15.96 Bn | 572.90 Mn | 551.40 Mn |
| 5 | Equifax | 16.47 Bn | 15.87 Bn | 926.40 Mn | 170.10 Mn |
| 6 | TransUnion | 12.16 Bn | 9.14 Bn | - | 839.10 Mn |
| 7 | Factset Research Systems | 9.52 Bn | 8.28 Bn | 310.73 Mn | 288.11 Mn |
| 8 | Morningstar | 6.89 Bn | 4.79 Bn | 423.90 Mn | 489.50 Mn |
| 9 | Mastercard | 480.84 Bn | 440.75 Bn | - | 11.29 Bn |
| 10 | Cme | 94.54 Bn | 94.54 Bn | - | 2.14 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 356.40 Mn |
| Mar 31, 2026 | 385.30 Mn |
| Dec 31, 2025 | 515.30 Mn |
| Sep 30, 2025 | 400.09 Mn |
| Jun 30, 2025 | 347.32 Mn |
| Mar 31, 2025 | 360.67 Mn |
| Dec 31, 2024 | 409.35 Mn |
| Sep 30, 2024 | 500.98 Mn |
| Jun 30, 2024 | 451.40 Mn |
| Mar 31, 2024 | 519.32 Mn |
| Dec 31, 2023 | 461.69 Mn |
| Sep 30, 2023 | 928.55 Mn |
| Jun 30, 2023 | 792.33 Mn |
| Mar 31, 2023 | 1.08 Bn |
| Dec 31, 2022 | 993.56 Mn |
| Sep 30, 2022 | 867.11 Mn |
| Jun 30, 2022 | 842.30 Mn |
| Mar 31, 2022 | 679.32 Mn |
| Dec 31, 2021 | 1.42 Bn |
| Sep 30, 2021 | 1.28 Bn |
API Access
Msci Cash & Equivalents 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=cash-and-equivalents&ticker=MSCI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=MSCI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();