Millerknoll (MLKN) Change in Accured Expenses (2009 - 2026)
Millerknoll's Change in Accured Expenses was -$31.6 million in fiscal Q1 2027 (quarter ended Aug 29, 2026), compared with -$61.4 million a year earlier.
Powered by 
Analysis
Millerknoll (MLKN) Change in Accured Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Millerknoll's Change in Accured Expenses was $15.8 million through Aug 29, 2026; for FY2026 (ended May 30, 2026), it came in at -$14 million.
- In earlier fiscal years, Change in Accured Expenses was $1 million in FY2025, -$7.5 million in FY2024, -$124.8 million in FY2023 and $47.2 million in FY2022 (+212.6%).
- Quarterly Change in Accured Expenses has moved between -$91.2 million (fiscal Q1 2023) and $39.9 million (fiscal Q2 2022) over five years.
- Compared with a year earlier, Change in Accured Expenses was higher in two of the last four quarters, with growth averaging 335.3%.
- The best year-over-year quarter for Change in Accured Expenses over five years was fiscal Q2 2025 (growth of 893.5%); the worst was fiscal Q4 2025 (a decline of 76.8%).
- Per Business Quant data, MLKN's Change in Accured Expenses in the three fiscal quarters before Q1 2027 was $39.7 million (Q4 2026), -$8.2 million (Q3 2026) and $15.9 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 25.73 Bn | 23.40 Bn | 860.34 Mn | 311.96 Mn |
| 2 | Somnigroup International | 13.04 Bn | 12.59 Bn | 817.20 Mn | - |
| 3 | Hni | 3.38 Bn | 2.95 Bn | 647.20 Mn | 100.30 Mn |
| 4 | Newell Brands | 2.30 Bn | 1.46 Bn | 812.00 Mn | - |
| 5 | Sonos | 2.09 Bn | 992.71 Mn | 189.31 Mn | 43.63 Mn |
| 6 | Whirlpool | 1.97 Bn | -1.51 Bn | 442.00 Mn | 3.00 Mn |
| 7 | Corsair Gaming | 1.49 Bn | 1.04 Bn | 104.29 Mn | 2.72 Mn |
| 8 | Arhaus | 1.45 Bn | 529.52 Mn | 172.07 Mn | 24.17 Mn |
| 9 | Millerknoll | 1.39 Bn | 754.60 Mn | 385.30 Mn | -31.60 Mn |
| 10 | Cricut | 1.37 Bn | 340.40 Mn | 116.41 Mn | 11.37 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 29, 2026 | -31.60 Mn |
| May 30, 2026 | 39.70 Mn |
| Feb 28, 2026 | -8.20 Mn |
| Nov 29, 2025 | 15.90 Mn |
| Aug 30, 2025 | -61.40 Mn |
| May 31, 2025 | 5.90 Mn |
| Mar 1, 2025 | -22.90 Mn |
| Nov 30, 2024 | 30.80 Mn |
| Aug 31, 2024 | -12.80 Mn |
| Jun 1, 2024 | 25.40 Mn |
| Mar 2, 2024 | -31.20 Mn |
| Dec 2, 2023 | 3.10 Mn |
| Sep 2, 2023 | -4.80 Mn |
| Jun 3, 2023 | 34.30 Mn |
| Mar 4, 2023 | -47.20 Mn |
| Dec 3, 2022 | -20.70 Mn |
| Sep 3, 2022 | -91.20 Mn |
| May 28, 2022 | 12.00 Mn |
| Feb 26, 2022 | 300,000.00 |
| Nov 27, 2021 | 39.90 Mn |
API Access
Millerknoll Change in Accured Expenses 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=change-in-accured-expenses&ticker=MLKN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=MLKN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();