Cintas (CTAS) Shares Outstanding (2010 - 2026)
Cintas' Shares Outstanding came in at 401.27 million for fiscal Q4 2026 (quarter ended May 31, 2026), down 0.6% from 403.53 million a year earlier but up 0.3% from the prior quarter.
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Analysis
Cintas (CTAS) Shares Outstanding (2010 - 2026) Analysis & Trends
Going back to fiscal Q4 2010, Cintas' Shares Outstanding data covers 65 quarters.
- 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 three 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 400.04 million (Q3 2026), 401.48 million (Q2 2026) and 403.29 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | 612.21 Mn |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 401.27 Mn |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | 297.74 Mn |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | 433.00 Mn |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | 263.59 Mn |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | 481.38 Mn |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | 202.00 Mn |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | 66.50 Mn |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | 504.80 Mn |
| 10 | Tetra Tech | 8.48 Bn | 7.59 Bn | 243.21 Mn | 258.15 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Aug 31, 2021 | 413.18 Mn |
API Access
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_KEYimport 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();