Msci (MSCI) Return on Sales [ROS] (2010 - 2026)
Msci (MSCI) posted Return on Sales [ROS] of 56.23% for Q2 2026, up 1.19 percentage points from 55.04% a year earlier and up 2.53 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 Jun 30, 2026, Return on Sales [ROS] at Msci was 55.66%, up 1.80 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] has increased in each of the last seven quarters, with an average year-over-year change of +1.07 percentage points over the last eight quarters.
- 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 53.70% (Q1 2026), 56.37% (Q4 2025) and 56.42% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 113.90 Bn | 109.50 Bn | 2.98 Bn | 43.70% |
| 2 | Moodys | 76.48 Bn | 68.91 Bn | 1.67 Bn | 47.87% |
| 3 | Msci | 38.99 Bn | 37.33 Bn | 717.10 Mn | 56.23% |
| 4 | Verisk Analytics | 21.33 Bn | 15.96 Bn | 572.90 Mn | 45.11% |
| 5 | Equifax | 16.47 Bn | 15.87 Bn | 926.40 Mn | 18.48% |
| 6 | TransUnion | 12.16 Bn | 9.14 Bn | - | 19.70% |
| 7 | Factset Research Systems | 9.52 Bn | 8.28 Bn | 310.73 Mn | 26.70% |
| 8 | Morningstar | 6.89 Bn | 4.79 Bn | 423.90 Mn | 24.22% |
| 9 | Mastercard | 480.84 Bn | 440.75 Bn | - | 60.22% |
| 10 | Cme | 94.54 Bn | 94.54 Bn | - | 64.89% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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% |
| Sep 30, 2021 | 54.19% |
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();