Millerknoll (MLKN) Operating Leases (2019 - 2026)
Millerknoll's Operating Leases was $440.2 million in fiscal Q1 2027 (quarter ended Aug 29, 2026), up 7.6% from $409 million a year earlier and up 1.5% from the prior quarter.
Millerknoll (MLKN) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2026 (ended May 30, 2026), Operating Leases at Millerknoll came in at $433.8 million, up 4.9% from FY2025.
- Operating Leases shows a five-year compound annual growth rate of 14.4% (FY2021 to FY2026).
- In earlier fiscal years, Operating Leases was $413.4 million in FY2025 (+14.7%), $360.4 million in FY2024 (-8.5%), $393.7 million in FY2023 (-1.1%) and $398.2 million in FY2022 (+80.1%).
- The fiscal Q1 2027 figure marks the highest quarterly Operating Leases in data going back to fiscal Q1 2020.
- Compared with a year earlier, Operating Leases has increased for eight straight quarters, with growth averaging 7.5% over the last eight quarters.
- The best year-over-year quarter for Operating Leases over five years was fiscal Q3 2022 (growth of 95.6%); the worst was fiscal Q4 2024 (a decline of 8.5%).
- Per Business Quant data, MLKN's Operating Leases in the three fiscal quarters before Q1 2027 was $433.8 million (Q4 2026), $400.5 million (Q3 2026) and $400.7 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | SharkNinja | 28.02 Bn | 25.69 Bn | 860.34 Mn |
| 2 | Somnigroup International | 13.26 Bn | 12.80 Bn | 817.20 Mn |
| 3 | Hni | 3.26 Bn | 2.83 Bn | 647.20 Mn |
| 4 | Newell Brands | 2.37 Bn | 1.52 Bn | 812.00 Mn |
| 5 | Sonos | 2.08 Bn | 977.15 Mn | 189.31 Mn |
| 6 | Whirlpool | 1.72 Bn | -1.75 Bn | 442.00 Mn |
| 7 | Arhaus | 1.55 Bn | 631.38 Mn | 172.07 Mn |
| 8 | Corsair Gaming | 1.48 Bn | 1.01 Bn | 104.29 Mn |
| 9 | Millerknoll | 1.41 Bn | 705.96 Mn | 385.30 Mn |
| 10 | Cricut | 1.32 Bn | 297.70 Mn | 116.41 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 29, 2026 | 440.20 Mn |
| May 30, 2026 | 433.80 Mn |
| Feb 28, 2026 | 400.50 Mn |
| Nov 29, 2025 | 400.70 Mn |
| Aug 30, 2025 | 409.00 Mn |
| May 31, 2025 | 413.40 Mn |
| Mar 1, 2025 | 390.90 Mn |
| Nov 30, 2024 | 376.20 Mn |
| Aug 31, 2024 | 375.10 Mn |
| Jun 1, 2024 | 360.40 Mn |
| Mar 2, 2024 | 355.20 Mn |
| Dec 2, 2023 | 360.70 Mn |
| Sep 2, 2023 | 377.00 Mn |
| Jun 3, 2023 | 393.70 Mn |
| Mar 4, 2023 | 374.20 Mn |
| Dec 3, 2022 | 382.20 Mn |
| Sep 3, 2022 | 391.70 Mn |
| May 28, 2022 | 398.20 Mn |
| Feb 26, 2022 | 392.40 Mn |
| Nov 27, 2021 | 364.20 Mn |
Millerknoll Operating Leases 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=operating-leases&ticker=MLKN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=MLKN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();