Information Services (III) EPS (Diluted) (2010 - 2026)
Information Services (III) posted EPS (Diluted) of $0.07 for Q2 2026, up 52.0% from $0.04 a year earlier and up 22.2% from the prior quarter.
Information Services (III) EPS (Diluted) (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EPS (Diluted) at Information Services was $0.23, up 49.5% year-over-year; for FY2025, it was $0.19, up 227.2% from FY2024.
- Annual EPS (Diluted) shows a five-year compound annual growth rate of 27.5% (FY2020 to FY2025).
- In prior years, Information Services' EPS (Diluted) was $0.06 in FY2024 (-53.8%), $0.12 in FY2023 (-68.7%), $0.39 in FY2022 (+30.4%) and $0.30 in FY2021 (+444.2%).
- The Q2 2026 figure stands as the highest quarterly EPS (Diluted) since Q1 2023.
- On a year-over-year basis, EPS (Diluted) increased in four of the last six quarters, with growth averaging 37.8%.
- The strongest year-over-year quarter for EPS (Diluted) in the past five years was Q3 2025, with growth of 164.7%; the weakest was Q3 2024, with a decline of 64.1%.
- According to Business Quant data, EPS (Diluted) for the three prior quarters was $0.05 (Q1 2026), $0.05 (Q4 2025) and $0.06 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 116.45 Bn | 76.86 Bn | 6.13 Bn | 3.80 |
| 2 | Cintas | 80.26 Bn | 79.45 Bn | 1.48 Bn | 1.26 |
| 3 | Iron Mountain | 33.05 Bn | 32.57 Bn | 1.07 Bn | 0.34 |
| 4 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn | 0.20 |
| 5 | Rollins | 14.72 Bn | 14.26 Bn | 569.95 Mn | 0.30 |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn | 0.36 |
| 7 | UL Solutions | 13.09 Bn | 11.87 Bn | 417.00 Mn | 1.21 |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 4.14 |
| 9 | Rentokil Initial | 10.36 Bn | 3.71 Bn | - | - |
| 10 | Information Services | 259.74 Mn | 155.97 Mn | 31.97 Mn | 0.07 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.07 |
| Mar 31, 2026 | 0.05 |
| Dec 31, 2025 | 0.05 |
| Sep 30, 2025 | 0.06 |
| Jun 30, 2025 | 0.04 |
| Mar 31, 2025 | 0.03 |
| Dec 31, 2024 | 0.06 |
| Sep 30, 2024 | 0.02 |
| Jun 30, 2024 | 0.04 |
| Mar 31, 2024 | -0.07 |
| Dec 31, 2023 | -0.06 |
| Sep 30, 2023 | 0.06 |
| Jun 30, 2023 | 0.05 |
| Mar 31, 2023 | 0.07 |
| Dec 31, 2022 | 0.08 |
| Sep 30, 2022 | 0.11 |
| Jun 30, 2022 | 0.10 |
| Mar 31, 2022 | 0.10 |
| Dec 31, 2021 | 0.07 |
| Sep 30, 2021 | 0.09 |
Information Services EPS (Diluted) 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=eps-diluted&ticker=III&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=III&period=max&api_key=YOUR_API_KEY");
const data = await res.json();