Lee Enterprises (LEE) Other Operating Expenses (2010 - 2026)
Lee Enterprises (LEE) recorded Other Operating Expenses of $63.96 million in fiscal Q3 2026 (quarter ended Jun 28, 2026), down 19.0% from $78.96 million a year earlier but up 5.7% from the prior quarter.
Lee Enterprises (LEE) Other Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Lee Enterprises' Other Operating Expenses came in at $273.81 million as of Jun 28, 2026, down 12.0% year-over-year; for FY2025 (ended Sep 28, 2025), it came in at $303.59 million, down 5.8% from FY2024.
- Annual Other Operating Expenses has declined for three straight fiscal years, though with a five-year compound annual growth rate of 1.8% (FY2020 to FY2025).
- Across earlier fiscal years, Other Operating Expenses came in at $322.2 million in FY2024 (-6.0%), $342.62 million in FY2023 (-10.9%), $384.72 million in FY2022 (+20.7%) and $318.81 million in FY2021 (+14.6%).
- Quarterly Other Operating Expenses has ranged from $60.53 million in fiscal Q2 2026 to $104.85 million in fiscal Q4 2022 over the past five years.
- On a year-over-year basis, Other Operating Expenses has declined for four consecutive quarters, with an average decline of 4.6% over the last eight quarters.
- Peak year-over-year performance for Other Operating Expenses in the last five years was growth of 15.6% in fiscal Q4 2022, against a decline of 25.8% in fiscal Q1 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $60.53 million (Q2 2026), $69.77 million (Q1 2026) and $79.54 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Fox | 28.13 Bn | 13.77 Bn | - |
| 2 | Omnicom | 23.90 Bn | 5.59 Bn | 1.36 Bn |
| 3 | News | 14.62 Bn | 6.11 Bn | - |
| 4 | New York Times | 11.45 Bn | 8.88 Bn | 395.07 Mn |
| 5 | Pearson | 11.16 Bn | 8.96 Bn | - |
| 6 | Sirius Xm Holdings | 10.73 Bn | 10.18 Bn | 1.43 Bn |
| 7 | Skydance | 8.79 Bn | 8.79 Bn | - |
| 8 | Nexstar Media | 6.17 Bn | 4.79 Bn | 1.20 Bn |
| 9 | Wpp | 5.97 Bn | -6.08 Bn | - |
| 10 | Lee Enterprises | 150.47 Mn | 17.43 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 62.64 Mn |
| Mar 29, 2026 | 66.59 Mn |
| Dec 28, 2025 | 70.81 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_KEYimport 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();