Lee Enterprises (LEE) Other Operating Expenses (2010 - 2026)
Lee Enterprises (LEE) posted Other Operating Expenses of $62.08 million for fiscal Q3 2026 (quarter ended Jun 28, 2026), down 19.6% from $77.25 million a year earlier and down 1.1% from the prior quarter.
Lee Enterprises (LEE) Other Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 28, 2026, Other Operating Expenses at Lee Enterprises was $264.9 million, down 12.9% year-over-year; for FY2025 (ended Sep 28, 2025), it came in at $294.64 million, down 2.4% from FY2024.
- Annual Other Operating Expenses has declined for three consecutive fiscal years, though with a five-year compound annual growth rate of 2.6% (FY2020 to FY2025).
- In prior fiscal years, Lee Enterprises' Other Operating Expenses was $301.95 million in FY2024 (-6.5%), $323.07 million in FY2023 (-6.3%), $344.91 million in FY2022 (+5.9%) and $325.6 million in FY2021 (+25.5%).
- The fiscal Q3 2026 figure stands as the lowest quarterly Other Operating Expenses since fiscal Q2 2020.
- On a year-over-year basis, Other Operating Expenses has declined in each of the last four quarters, with an average decline of 4.9% over the last eight quarters.
- The strongest year-over-year quarter for Other Operating Expenses in the past five years was fiscal Q4 2024, with growth of 9.5%; the weakest was fiscal Q3 2026, with a decline of 19.6%.
- According to Business Quant data, Other Operating Expenses for the three prior fiscal quarters was $62.75 million (Q2 2026), $68.81 million (Q1 2026) and $71.26 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Warner Bros. Discovery | 77.62 Bn | 63.29 Bn | 4.10 Bn |
| 2 | Fox | 27.00 Bn | 12.91 Bn | - |
| 3 | Omnicom | 20.21 Bn | 2.90 Bn | 1.30 Bn |
| 4 | News | 15.94 Bn | 8.14 Bn | - |
| 5 | Paramount Skydance | 11.45 Bn | 9.37 Bn | - |
| 6 | New York Times | 10.22 Bn | 7.71 Bn | 394.61 Mn |
| 7 | Pearson | 10.20 Bn | 7.34 Bn | - |
| 8 | Sirius Xm Holdings | 8.72 Bn | 8.30 Bn | 1.44 Bn |
| 9 | 36Kr Holdings | 5.91 Bn | 5.85 Bn | - |
| 10 | Lee Enterprises | 154.93 Mn | 21.89 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 62.08 Mn |
| Mar 29, 2026 | 62.75 Mn |
| Dec 28, 2025 | 68.81 Mn |
| Sep 28, 2025 | 71.26 Mn |
| Jun 29, 2025 | 77.25 Mn |
| Mar 30, 2025 | 71.46 Mn |
| Dec 29, 2024 | 74.68 Mn |
| Sep 29, 2024 | 80.70 Mn |
| Jun 23, 2024 | 74.18 Mn |
| Mar 24, 2024 | 72.29 Mn |
| Dec 24, 2023 | 74.78 Mn |
| Sep 24, 2023 | 73.71 Mn |
| Jun 25, 2023 | 80.01 Mn |
| Mar 26, 2023 | 82.57 Mn |
| Dec 25, 2022 | 86.77 Mn |
| Sep 25, 2022 | 86.24 Mn |
| Jun 26, 2022 | 88.00 Mn |
| Mar 27, 2022 | 84.68 Mn |
| Dec 26, 2021 | 85.98 Mn |
| Sep 26, 2021 | 81.85 Mn |
Lee Enterprises Other Operating 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=other-operating-expenses&ticker=LEE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "LEE", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-operating-expenses&ticker=LEE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();