Millerknoll (MLKN) Selling, General & Administrative (2012 - 2026)
Millerknoll (MLKN) posted Selling, General & Administrative of $300.7 million for fiscal Q4 2026 (quarter ended May 30, 2026), up 4.7% from $287.1 million a year earlier and up 5.3% from the prior quarter.
Millerknoll (MLKN) Selling, General & Administrative (2012 - 2026) Analysis & Trends
For FY2026 (ended May 30, 2026), Millerknoll's Selling, General & Administrative came in at $1.18 billion, up 4.0% from FY2025.
- Annual Selling, General & Administrative shows a five-year compound annual growth rate of 12.8% (FY2021 to FY2026).
- In prior fiscal years, Millerknoll's Selling, General & Administrative was $1.13 billion in FY2025 (+1.9%), $1.11 billion in FY2024 (-1.3%), $1.13 billion in FY2023 (-6.5%) and $1.2 billion in FY2022 (+87.0%).
- The fiscal Q4 2026 figure stands as the highest quarterly Selling, General & Administrative since fiscal Q2 2022.
- On a year-over-year basis, Selling, General & Administrative has increased in each of the last three quarters, with growth averaging 3.1% over the last eight quarters.
- The strongest year-over-year quarter for Selling, General & Administrative in the past five years was fiscal Q1 2022, with growth of 119.6%; the weakest was fiscal Q2 2023, with a decline of 8.7%.
- According to Business Quant data, Selling, General & Administrative for the three prior fiscal quarters was $285.5 million (Q3 2026), $298.3 million (Q2 2026) and $293.8 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 25.37 Bn | 23.04 Bn | 860.34 Mn | 130.11 Mn |
| 2 | Somnigroup International | 13.07 Bn | 12.62 Bn | 817.20 Mn | - |
| 3 | Hni | 3.27 Bn | 2.84 Bn | 647.20 Mn | 533.00 Mn |
| 4 | Newell Brands | 2.25 Bn | 1.41 Bn | 812.00 Mn | 519.00 Mn |
| 5 | Sonos | 2.12 Bn | 1.02 Bn | 189.31 Mn | 30.28 Mn |
| 6 | Whirlpool | 1.99 Bn | -1.49 Bn | 442.00 Mn | 371.00 Mn |
| 7 | Corsair Gaming | 1.46 Bn | 1.00 Bn | 104.29 Mn | 81.23 Mn |
| 8 | Millerknoll | 1.35 Bn | 714.71 Mn | 385.30 Mn | 302.50 Mn |
| 9 | Arhaus | 1.34 Bn | 420.59 Mn | 172.07 Mn | 117.81 Mn |
| 10 | Cricut | 1.34 Bn | 311.09 Mn | 116.41 Mn | 14.14 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 29, 2026 | 302.50 Mn |
| May 30, 2026 | 300.70 Mn |
| Feb 28, 2026 | 285.50 Mn |
| Nov 29, 2025 | 298.30 Mn |
| Aug 30, 2025 | 293.80 Mn |
| May 31, 2025 | 287.10 Mn |
| Mar 1, 2025 | 258.10 Mn |
| Nov 30, 2024 | 289.90 Mn |
| Aug 31, 2024 | 298.40 Mn |
| Jun 1, 2024 | 262.90 Mn |
| Mar 2, 2024 | 271.10 Mn |
| Dec 2, 2023 | 287.60 Mn |
| Sep 2, 2023 | 290.50 Mn |
| Jun 3, 2023 | 274.10 Mn |
| Mar 4, 2023 | 264.70 Mn |
| Dec 3, 2022 | 290.80 Mn |
| Sep 3, 2022 | 296.90 Mn |
| May 28, 2022 | 296.40 Mn |
| Feb 26, 2022 | 282.30 Mn |
| Nov 27, 2021 | 318.60 Mn |
Millerknoll Selling, General & Administrative 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=selling-general-and-administrative&ticker=MLKN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=MLKN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();