Lee Enterprises (LEE) Accumulated Expenses (2010 - 2026)
Lee Enterprises' Accumulated Expenses was $26.74 million in fiscal Q3 2026 (quarter ended Jun 28, 2026), down 24.6% from $35.48 million a year earlier but up 6.9% from the prior quarter.
Lee Enterprises (LEE) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 28, 2025), Accumulated Expenses at Lee Enterprises came in at $37.86 million, down 3.3% from FY2024.
- Accumulated Expenses shows a five-year compound annual growth rate of -3.1% (FY2020 to FY2025).
- In earlier fiscal years, Accumulated Expenses was $39.17 million in FY2024 (+33.0%), $29.45 million in FY2023 (-34.2%), $44.74 million in FY2022 (-0.7%) and $45.08 million in FY2021 (+1.8%).
- Quarterly Accumulated Expenses has moved between $25.01 million (fiscal Q2 2026) and $45.08 million (fiscal Q4 2021) over five years.
- Compared with a year earlier, Accumulated Expenses has declined for four straight quarters, with growth averaging 1.5% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was fiscal Q1 2025 (growth of 33.9%); the worst was fiscal Q4 2023 (a decline of 34.2%).
- Per Business Quant data, LEE's Accumulated Expenses in the three fiscal quarters before Q3 2026 was $25.01 million (Q2 2026), $28.79 million (Q1 2026) and $37.86 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 | 26.74 Mn |
| Mar 29, 2026 | 25.01 Mn |
| Dec 28, 2025 | 28.79 Mn |
| Sep 28, 2025 | 37.86 Mn |
| Jun 29, 2025 | 35.48 Mn |
| Mar 30, 2025 | 35.67 Mn |
| Dec 29, 2024 | 36.09 Mn |
| Sep 29, 2024 | 39.17 Mn |
| Jun 23, 2024 | 32.44 Mn |
| Mar 24, 2024 | 31.44 Mn |
| Dec 24, 2023 | 26.96 Mn |
| Sep 24, 2023 | 29.45 Mn |
| Jun 25, 2023 | 32.33 Mn |
| Mar 26, 2023 | 35.32 Mn |
| Dec 25, 2022 | 39.95 Mn |
| Sep 25, 2022 | 44.74 Mn |
| Jun 26, 2022 | 43.32 Mn |
| Mar 27, 2022 | 41.55 Mn |
| Dec 26, 2021 | 43.65 Mn |
| Sep 26, 2021 | 45.08 Mn |
Lee Enterprises Accumulated 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=accumulated-expenses&ticker=LEE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=LEE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();