Information Services (III) Gross Margin (2010 - 2026)
Information Services (III) posted Gross Margin of 48.82% for Q2 2026, up 6.63 percentage points from 42.19% a year earlier and up 5.70 percentage points from the prior quarter.
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Analysis
Information Services (III) Gross Margin (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Gross Margin at Information Services was 44.80%, up 3.03 percentage points year-over-year; for FY2025, it was 43.07%, up 3.78 percentage points from FY2024.
- Annual Gross Margin shows a five-year change of +3.23 percentage points (FY2020 to FY2025).
- In prior years, Information Services' Gross Margin was 39.29% in FY2024 (+0.76 pp), 38.53% in FY2023 (-2.21 pp), 40.74% in FY2022 (+1.38 pp) and 39.36% in FY2021 (-0.48 pp).
- The Q2 2026 figure stands as the highest quarterly Gross Margin in data going back to Q2 2010.
- On a year-over-year basis, Gross Margin has increased in each of the last nine quarters, with an average year-over-year change of +3.14 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Gross Margin in the past five years was Q1 2025, with a gain of 6.93 percentage points; the weakest was Q2 2023, with a drop of 2.94 percentage points.
- According to Business Quant data, Gross Margin for the three prior quarters was 43.12% (Q1 2026), 44.83% (Q4 2025) and 42.22% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 116.45 Bn | 76.86 Bn | 6.13 Bn | 32.77% |
| 2 | Cintas | 80.26 Bn | 79.45 Bn | 1.48 Bn | 50.95% |
| 3 | Iron Mountain | 33.05 Bn | 32.57 Bn | 1.07 Bn | 52.76% |
| 4 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn | 31.19% |
| 5 | Rollins | 14.72 Bn | 14.26 Bn | 569.95 Mn | 52.84% |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn | 8.51% |
| 7 | UL Solutions | 13.09 Bn | 11.87 Bn | 417.00 Mn | 51.10% |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 70.95% |
| 9 | Rentokil Initial | 10.36 Bn | 3.71 Bn | - | - |
| 10 | Information Services | 259.74 Mn | 155.97 Mn | 31.97 Mn | 48.82% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 48.82% |
| Mar 31, 2026 | 43.12% |
| Dec 31, 2025 | 44.83% |
| Sep 30, 2025 | 42.22% |
| Jun 30, 2025 | 42.19% |
| Mar 31, 2025 | 43.06% |
| Dec 31, 2024 | 41.46% |
| Sep 30, 2024 | 40.39% |
| Jun 30, 2024 | 39.46% |
| Mar 31, 2024 | 36.13% |
| Dec 31, 2023 | 38.26% |
| Sep 30, 2023 | 40.04% |
| Jun 30, 2023 | 38.55% |
| Mar 31, 2023 | 37.35% |
| Dec 31, 2022 | 39.95% |
| Sep 30, 2022 | 42.20% |
| Jun 30, 2022 | 41.49% |
| Mar 31, 2022 | 39.43% |
| Dec 31, 2021 | 40.98% |
| Sep 30, 2021 | 39.17% |
API Access
Information Services Gross Margin 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=gross-margin&ticker=III&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "ticker": "III", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=gross-margin&ticker=III&period=max&api_key=YOUR_API_KEY");
const data = await res.json();