Lee Enterprises (LEE) Operating Expenses (2010 - 2026)
Lee Enterprises' Operating Expenses was $118.26 million in fiscal Q3 2026 (quarter ended Jun 28, 2026), down 13.9% from $137.32 million a year earlier but up 3.3% from the prior quarter.
Lee Enterprises (LEE) Operating Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Lee Enterprises' Operating Expenses was $500.5 million through Jun 28, 2026, down 15.5% year-over-year; for FY2025 (ended Sep 28, 2025), it came in at $571.27 million, down 6.6% from FY2024.
- Operating Expenses has now declined for three consecutive fiscal years, with a five-year compound annual growth rate of 0.0% (FY2020 to FY2025).
- In earlier fiscal years, Operating Expenses was $611.41 million in FY2024 (-7.4%), $660.5 million in FY2023 (-13.3%), $761.78 million in FY2022 (+2.3%) and $744.51 million in FY2021 (+30.4%).
- Quarterly Operating Expenses has moved between $114.43 million (fiscal Q2 2026) and $198.56 million (fiscal Q4 2022) over five years.
- Compared with a year earlier, Operating Expenses has declined for seven straight quarters, with an average decline of 8.8% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was fiscal Q4 2022 (growth of 9.2%); the worst was fiscal Q4 2023 (a decline of 21.4%).
- Per Business Quant data, LEE's Operating Expenses in the three fiscal quarters before Q3 2026 was $114.43 million (Q2 2026), $125.93 million (Q1 2026) and $141.88 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Warner Bros. Discovery | 77.50 Bn | 63.16 Bn | 4.10 Bn | 8.48 Bn |
| 2 | Fox | 27.18 Bn | 13.09 Bn | - | 2.38 Bn |
| 3 | Omnicom | 20.60 Bn | 3.30 Bn | 1.30 Bn | 5.64 Bn |
| 4 | News | 16.19 Bn | 8.39 Bn | - | 991.00 Mn |
| 5 | Paramount Skydance | 11.39 Bn | 9.31 Bn | - | - |
| 6 | New York Times | 10.30 Bn | 7.79 Bn | 394.61 Mn | 644.44 Mn |
| 7 | Pearson | 10.14 Bn | 7.28 Bn | - | - |
| 8 | Sirius Xm Holdings | 8.74 Bn | 8.32 Bn | 1.44 Bn | 1.69 Bn |
| 9 | 36Kr Holdings | 6.25 Bn | 6.19 Bn | - | - |
| 10 | Lee Enterprises | 151.59 Mn | 18.55 Mn | - | 118.26 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 118.26 Mn |
| Mar 29, 2026 | 114.43 Mn |
| Dec 28, 2025 | 125.93 Mn |
| Sep 28, 2025 | 141.88 Mn |
| Jun 29, 2025 | 137.32 Mn |
| Mar 30, 2025 | 143.04 Mn |
| Dec 29, 2024 | 149.04 Mn |
| Sep 29, 2024 | 162.94 Mn |
| Jun 23, 2024 | 146.78 Mn |
| Mar 24, 2024 | 152.31 Mn |
| Dec 24, 2023 | 149.39 Mn |
| Sep 24, 2023 | 156.08 Mn |
| Jun 25, 2023 | 160.30 Mn |
| Mar 26, 2023 | 168.50 Mn |
| Dec 25, 2022 | 175.62 Mn |
| Sep 25, 2022 | 198.56 Mn |
| Jun 26, 2022 | 189.65 Mn |
| Mar 27, 2022 | 194.65 Mn |
| Dec 26, 2021 | 178.92 Mn |
| Sep 26, 2021 | 181.87 Mn |
Lee Enterprises 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=operating-expenses&ticker=LEE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-expenses&ticker=LEE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();