Millerknoll (MLKN) Shares Outstanding (Diluted) (2010 - 2026)
Millerknoll's Shares Outstanding (Diluted) was 69.32 million in fiscal Q4 2026 (quarter ended May 30, 2026), up 0.5% from 68.98 million a year earlier and up 0.3% from the prior quarter.
Millerknoll (MLKN) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
From fiscal Q4 2010 onward, Millerknoll has reported Shares Outstanding (Diluted) for 65 quarters.
- Shares Outstanding (Diluted) shows a five-year compound annual growth rate of 3.1% (FY2021 to FY2026).
- In earlier fiscal years, Shares Outstanding (Diluted) was 68.98 million in FY2025 (-6.7%), 73.95 million in FY2024 (-2.7%), 76.02 million in FY2023 (+3.9%) and 73.16 million in FY2022 (+23.2%).
- The fiscal Q4 2026 figure marks the highest quarterly Shares Outstanding (Diluted) since fiscal Q2 2025.
- Compared with a year earlier, Shares Outstanding (Diluted) was higher in two of the last eight quarters, with an average decline of 3.6%.
- The best year-over-year quarter for Shares Outstanding (Diluted) over five years was fiscal Q3 2022 (growth of 28.4%); the worst was fiscal Q3 2025 (a decline of 7.8%).
- Per Business Quant data, MLKN's Shares Outstanding (Diluted) in the three fiscal quarters before Q4 2026 was 69.13 million (Q3 2026), 68.91 million (Q2 2026) and 69.19 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 25.37 Bn | 23.04 Bn | 860.34 Mn | 141.51 Mn |
| 2 | Somnigroup International | 13.07 Bn | 12.62 Bn | 817.20 Mn | 212.50 Mn |
| 3 | Hni | 3.27 Bn | 2.84 Bn | 647.20 Mn | 72.10 Mn |
| 4 | Newell Brands | 2.25 Bn | 1.41 Bn | 812.00 Mn | 430.20 Mn |
| 5 | Sonos | 2.12 Bn | 1.02 Bn | 189.31 Mn | 120.98 Mn |
| 6 | Whirlpool | 1.99 Bn | -1.49 Bn | 442.00 Mn | 65.20 Mn |
| 7 | Corsair Gaming | 1.46 Bn | 1.00 Bn | 104.29 Mn | 109.19 Mn |
| 8 | Millerknoll | 1.35 Bn | 714.71 Mn | 385.30 Mn | 70.04 Mn |
| 9 | Arhaus | 1.34 Bn | 420.59 Mn | 172.07 Mn | 141.81 Mn |
| 10 | Cricut | 1.34 Bn | 311.09 Mn | 116.41 Mn | 211.06 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 29, 2026 | 70.04 Mn |
| May 30, 2026 | 69.32 Mn |
| Feb 28, 2026 | 69.13 Mn |
| Nov 29, 2025 | 68.91 Mn |
| Aug 30, 2025 | 69.19 Mn |
| May 31, 2025 | 68.98 Mn |
| Mar 1, 2025 | 68.35 Mn |
| Nov 30, 2024 | 70.03 Mn |
| Aug 31, 2024 | 70.21 Mn |
| Jun 1, 2024 | 73.95 Mn |
| Mar 2, 2024 | 74.15 Mn |
| Dec 2, 2023 | 74.24 Mn |
| Sep 2, 2023 | 75.71 Mn |
| Jun 3, 2023 | 76.02 Mn |
| Mar 4, 2023 | 76.07 Mn |
| Dec 3, 2022 | 75.88 Mn |
| Sep 3, 2022 | 76.27 Mn |
| May 28, 2022 | 73.16 Mn |
| Feb 26, 2022 | 76.51 Mn |
| Nov 27, 2021 | 75.30 Mn |
Millerknoll Shares Outstanding (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=shares-outstanding-diluted&ticker=MLKN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "MLKN", "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-diluted&ticker=MLKN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();