Lee Enterprises (LEE) Total Current Liabilities (2010 - 2026)
Lee Enterprises (LEE) reported Total Current Liabilities of $103.81 million for fiscal Q3 2026 (quarter ended Jun 28, 2026), down 11.9% from $117.88 million a year earlier but up 5.5% from the prior quarter.
Lee Enterprises (LEE) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 28, 2025), Lee Enterprises posted Total Current Liabilities of $113.36 million, down 1.7% from FY2024.
- Total Current Liabilities has a five-year compound annual growth rate of -4.7% (FY2020 to FY2025).
- By fiscal year, Total Current Liabilities came in at $115.35 million in FY2024 (+0.9%), $114.34 million in FY2023 (-12.8%), $131.14 million in FY2022 (-7.4%) and $141.62 million in FY2021 (-1.7%).
- Five-year quarterly Total Current Liabilities spans a low of $98.36 million in fiscal Q2 2026 and a high of $142.53 million in fiscal Q3 2022.
- Year over year, Total Current Liabilities has now declined in each of the last four quarters, with an average decline of 1.8% over the last eight quarters.
- The high point for year-over-year Total Current Liabilities in five years was fiscal Q2 2025 (growth of 6.8%); the low point was fiscal Q1 2024 (a decline of 17.1%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $98.36 million (Q2 2026), $112.26 million (Q1 2026) and $113.36 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Warner Bros. Discovery | 77.70 Bn | 63.36 Bn | 4.10 Bn | 16.14 Bn |
| 2 | Fox | 28.87 Bn | 14.68 Bn | - | 2.67 Bn |
| 3 | Omnicom | 22.69 Bn | 4.78 Bn | 1.30 Bn | 25.14 Bn |
| 4 | News | 17.02 Bn | 8.51 Bn | - | 2.76 Bn |
| 5 | Pearson | 11.88 Bn | 8.99 Bn | - | 1.56 Bn |
| 6 | New York Times | 11.24 Bn | 8.72 Bn | 394.61 Mn | 647.72 Mn |
| 7 | Sirius Xm Holdings | 9.17 Bn | 8.75 Bn | 1.44 Bn | 2.53 Bn |
| 8 | Skydance | 7.82 Bn | 5.74 Bn | - | 10.60 Bn |
| 9 | Wpp | 5.72 Bn | -6.32 Bn | - | 19.40 Bn |
| 10 | Lee Enterprises | 143.72 Mn | 8.41 Mn | - | 103.81 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 103.81 Mn |
| Mar 29, 2026 | 98.36 Mn |
| Dec 28, 2025 | 112.26 Mn |
| Sep 28, 2025 | 113.36 Mn |
| Jun 29, 2025 | 117.88 Mn |
| Mar 30, 2025 | 116.33 Mn |
| Dec 29, 2024 | 118.99 Mn |
| Sep 29, 2024 | 115.35 Mn |
| Jun 23, 2024 | 110.46 Mn |
| Mar 24, 2024 | 108.95 Mn |
| Dec 24, 2023 | 112.65 Mn |
| Sep 24, 2023 | 114.34 Mn |
| Jun 25, 2023 | 124.66 Mn |
| Mar 26, 2023 | 131.28 Mn |
| Dec 25, 2022 | 135.93 Mn |
| Sep 25, 2022 | 131.14 Mn |
| Jun 26, 2022 | 142.53 Mn |
| Mar 27, 2022 | 139.79 Mn |
| Dec 26, 2021 | 141.61 Mn |
| Sep 26, 2021 | 141.62 Mn |
Lee Enterprises Total Current Liabilities 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=total-current-liabilities&ticker=LEE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=LEE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();