Cintas (CTAS) Shares Outstanding (2010 - 2026)
Cintas' Shares Outstanding came in at 400.14 million for fiscal Q1 2027 (quarter ended Aug 31, 2026), down 0.8% from 403.29 million a year earlier and down 0.3% from the prior quarter.
Cintas (CTAS) Shares Outstanding (2010 - 2026) Analysis & Trends
For FY2026 (ended May 31, 2026), Cintas' Shares Outstanding was 401.27 million, down 0.6% from FY2025.
- Shares Outstanding carries a five-year compound annual growth rate of -0.9% (FY2021 to FY2026).
- Going back by fiscal year, Shares Outstanding was 403.53 million in FY2025 (-0.8%), 406.61 million in FY2024 (unchanged), 406.58 million in FY2023 (-1.5%) and 412.69 million in FY2022 (-1.6%).
- The five-year range for quarterly Shares Outstanding is 400.04 million (fiscal Q3 2026) to 414.58 million (fiscal Q2 2022).
- Year-over-year, Shares Outstanding has declined for four consecutive quarters, with an average decline of 0.6% over the last eight quarters.
- The fastest year-over-year change in Shares Outstanding over five years came in fiscal Q1 2024 (growth of 0.5%), and the weakest in fiscal Q2 2023 (a decline of 1.9%).
- Business Quant data shows CTAS's Shares Outstanding at 401.27 million (Q4 2026), 400.04 million (Q3 2026) and 401.48 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 166.50 Bn | 126.90 Bn | 6.13 Bn | 612.21 Mn |
| 2 | Cintas | 89.53 Bn | 88.62 Bn | 1.55 Bn | 400.14 Mn |
| 3 | Iron Mountain | 32.72 Bn | 32.24 Bn | 1.07 Bn | 297.74 Mn |
| 4 | APi | 17.05 Bn | 14.09 Bn | 703.00 Mn | 433.00 Mn |
| 5 | Rollins | 16.64 Bn | 16.18 Bn | 582.90 Mn | 478.97 Mn |
| 6 | UL Solutions | 14.83 Bn | 13.61 Bn | 417.00 Mn | 202.00 Mn |
| 7 | Gartner | 14.54 Bn | 8.23 Bn | 1.19 Bn | 66.50 Mn |
| 8 | Aramark | 13.86 Bn | 11.87 Bn | 430.34 Mn | 263.59 Mn |
| 9 | Rentokil Initial | 11.50 Bn | 5.01 Bn | - | 504.80 Mn |
| 10 | Tetra Tech | 9.47 Bn | 8.58 Bn | 243.21 Mn | 258.15 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 400.14 Mn |
| May 31, 2026 | 401.27 Mn |
| Feb 28, 2026 | 400.04 Mn |
| Nov 30, 2025 | 401.48 Mn |
| Aug 31, 2025 | 403.29 Mn |
| May 31, 2025 | 403.53 Mn |
| Feb 28, 2025 | 403.77 Mn |
| Nov 30, 2024 | 403.58 Mn |
| Aug 31, 2024 | 403.38 Mn |
| May 31, 2024 | 406.61 Mn |
| Feb 29, 2024 | 405.91 Mn |
| Nov 30, 2023 | 406.67 Mn |
| Aug 31, 2023 | 407.58 Mn |
| May 31, 2023 | 406.58 Mn |
| Feb 28, 2023 | 406.86 Mn |
| Nov 30, 2022 | 406.55 Mn |
| Aug 31, 2022 | 405.71 Mn |
| May 31, 2022 | 412.69 Mn |
| Feb 28, 2022 | 413.55 Mn |
| Nov 30, 2021 | 414.58 Mn |
Cintas Shares Outstanding 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=shares-outstanding&ticker=CTAS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "CTAS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=shares-outstanding&ticker=CTAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();