Msci (MSCI) Return on Sales [ROS] (2010 - 2026)
Msci (MSCI) posted Return on Sales [ROS] of 56.29% for Q3 2026, down 0.13 percentage points from 56.42% a year earlier but up 0.06 percentage points from the prior quarter.
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Analysis
Msci (MSCI) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Return on Sales [ROS] at Msci was 55.65%, up 1.48 percentage points year-over-year; for FY2025, it came in at 54.67%, up 1.15 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of +2.48 percentage points (FY2020 to FY2025).
- In prior years, Msci's Return on Sales [ROS] was 53.52% in FY2024 (-1.23 pp), 54.75% in FY2023 (+1.04 pp), 53.71% in FY2022 (+1.21 pp) and 52.49% in FY2021 (+0.31 pp).
- Quarterly Return on Sales [ROS] has run from a low of 49.91% in Q1 2024 to a high of 56.49% in Q3 2023 over five years.
- On a year-over-year basis, Return on Sales [ROS] increased in seven of the last eight quarters, with an average year-over-year change of +1.19 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q1 2026, with a gain of 3.15 percentage points; the weakest was Q1 2024, with a drop of 3.21 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 56.23% (Q2 2026), 53.70% (Q1 2026) and 56.37% (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 132.75 Bn | 123.34 Bn | 2.98 Bn | 43.70% |
| 2 | Moodys | 83.38 Bn | 76.31 Bn | 1.50 Bn | 44.78% |
| 3 | Msci | 44.28 Bn | 42.76 Bn | 739.80 Mn | 56.29% |
| 4 | Verisk Analytics | 25.60 Bn | 20.23 Bn | 572.90 Mn | 45.11% |
| 5 | Equifax | 21.43 Bn | 20.70 Bn | 940.10 Mn | 20.99% |
| 6 | TransUnion | 15.67 Bn | 12.49 Bn | - | 19.70% |
| 7 | Factset Research Systems | 12.09 Bn | 10.94 Bn | 308.40 Mn | 24.68% |
| 8 | Morningstar | 8.49 Bn | 6.40 Bn | 423.90 Mn | 24.22% |
| 9 | Mastercard | 548.20 Bn | 508.12 Bn | - | 60.22% |
| 10 | Cme | 110.29 Bn | 98.39 Bn | - | 64.89% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 56.29% |
| Jun 30, 2026 | 56.23% |
| Mar 31, 2026 | 53.70% |
| Dec 31, 2025 | 56.37% |
| Sep 30, 2025 | 56.42% |
| Jun 30, 2025 | 55.04% |
| Mar 31, 2025 | 50.55% |
| Dec 31, 2024 | 54.50% |
| Sep 30, 2024 | 55.38% |
| Jun 30, 2024 | 54.04% |
| Mar 31, 2024 | 49.91% |
| Dec 31, 2023 | 53.72% |
| Sep 30, 2023 | 56.49% |
| Jun 30, 2023 | 55.69% |
| Mar 31, 2023 | 53.12% |
| Dec 31, 2022 | 53.58% |
| Sep 30, 2022 | 55.21% |
| Jun 30, 2022 | 54.44% |
| Mar 31, 2022 | 51.61% |
| Dec 31, 2021 | 51.03% |
API Access
Msci Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=MSCI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=MSCI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();