Millerknoll (MLKN) Cash & Equivalents (2009 - 2026)
Millerknoll's Cash & Equivalents was $167.7 million in fiscal Q4 2026 (quarter ended May 30, 2026), down 13.4% from $193.7 million a year earlier and down 4.0% from the prior quarter.
Millerknoll (MLKN) Cash & Equivalents (2009 - 2026) Analysis & Trends
From fiscal Q1 2010 onward, Millerknoll has reported Cash & Equivalents for 68 quarters.
- Cash & Equivalents shows a five-year compound annual growth rate of -15.8% (FY2021 to FY2026).
- In earlier fiscal years, Cash & Equivalents was $193.7 million in FY2025 (-15.9%), $230.4 million in FY2024 (+3.1%), $223.5 million in FY2023 (-3.0%) and $230.3 million in FY2022 (-41.9%).
- Quarterly Cash & Equivalents has moved between $167.2 million (fiscal Q1 2026) and $245.9 million (fiscal Q3 2022) over five years.
- Compared with a year earlier, Cash & Equivalents was higher in 1 of the last eight quarters, with an average decline of 11.9%.
- The best year-over-year quarter for Cash & Equivalents over five years was fiscal Q2 2024 (growth of 14.3%); the worst was fiscal Q4 2022 (a decline of 41.9%).
- Per Business Quant data, MLKN's Cash & Equivalents in the three fiscal quarters before Q4 2026 was $174.6 million (Q3 2026), $180.4 million (Q2 2026) and $167.2 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 25.37 Bn | 23.04 Bn | 860.34 Mn | 779.83 Mn |
| 2 | Somnigroup International | 13.07 Bn | 12.62 Bn | 817.20 Mn | 112.00 Mn |
| 3 | Hni | 3.27 Bn | 2.84 Bn | 647.20 Mn | 105.00 Mn |
| 4 | Newell Brands | 2.25 Bn | 1.41 Bn | 812.00 Mn | 209.00 Mn |
| 5 | Sonos | 2.12 Bn | 1.02 Bn | 189.31 Mn | 206.89 Mn |
| 6 | Whirlpool | 1.99 Bn | -1.49 Bn | 442.00 Mn | 1.24 Bn |
| 7 | Corsair Gaming | 1.46 Bn | 1.00 Bn | 104.29 Mn | 192.24 Mn |
| 8 | Millerknoll | 1.35 Bn | 714.71 Mn | 385.30 Mn | 178.60 Mn |
| 9 | Arhaus | 1.34 Bn | 420.59 Mn | 172.07 Mn | 226.40 Mn |
| 10 | Cricut | 1.34 Bn | 311.09 Mn | 116.41 Mn | 266.91 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 29, 2026 | 178.60 Mn |
| May 30, 2026 | 167.70 Mn |
| Feb 28, 2026 | 174.60 Mn |
| Nov 29, 2025 | 180.40 Mn |
| Aug 30, 2025 | 167.20 Mn |
| May 31, 2025 | 193.70 Mn |
| Mar 1, 2025 | 169.80 Mn |
| Nov 30, 2024 | 221.10 Mn |
| Aug 31, 2024 | 209.70 Mn |
| Jun 1, 2024 | 230.40 Mn |
| Mar 2, 2024 | 223.60 Mn |
| Dec 2, 2023 | 225.80 Mn |
| Sep 2, 2023 | 217.50 Mn |
| Jun 3, 2023 | 223.50 Mn |
| Mar 4, 2023 | 217.10 Mn |
| Dec 3, 2022 | 197.50 Mn |
| Sep 3, 2022 | 215.80 Mn |
| May 28, 2022 | 230.30 Mn |
| Feb 26, 2022 | 245.90 Mn |
| Nov 27, 2021 | 227.30 Mn |
Millerknoll Cash & Equivalents 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=cash-and-equivalents&ticker=MLKN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=MLKN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();