Lee Enterprises (LEE) Receivables (2010 - 2026)
Lee Enterprises (LEE) posted Receivables of $44.93 million for fiscal Q3 2026 (quarter ended Jun 28, 2026), down 21.3% from $57.11 million a year earlier and down 1.4% from the prior quarter.
Lee Enterprises (LEE) Receivables (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 28, 2025), Lee Enterprises' Receivables came in at $54.61 million, down 10.0% from FY2024.
- Annual Receivables has declined for three consecutive fiscal years, though with a five-year compound annual growth rate of 0.8% (FY2020 to FY2025).
- In prior fiscal years, Lee Enterprises' Receivables was $60.65 million in FY2024 (-12.2%), $69.1 million in FY2023 (-0.6%), $69.52 million in FY2022 (+6.8%) and $65.07 million in FY2021 (+23.7%).
- The fiscal Q3 2026 figure stands as the lowest quarterly Receivables since fiscal Q4 2019.
- On a year-over-year basis, Receivables has declined in each of the last five quarters, with an average decline of 12.3% over the last eight quarters.
- The strongest year-over-year quarter for Receivables in the past five years was fiscal Q4 2021, with growth of 23.7%; the weakest was fiscal Q2 2026, with a decline of 26.9%.
- According to Business Quant data, Receivables for the three prior fiscal quarters was $45.57 million (Q2 2026), $51.11 million (Q1 2026) and $54.61 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Warner Bros. Discovery | 77.70 Bn | 63.36 Bn | 4.10 Bn | 4.95 Bn |
| 2 | Fox | 28.38 Bn | 14.19 Bn | - | 3.46 Bn |
| 3 | Omnicom | 22.45 Bn | 4.54 Bn | 1.30 Bn | 15.22 Bn |
| 4 | News | 16.99 Bn | 8.47 Bn | - | 1.76 Bn |
| 5 | Pearson | 11.84 Bn | 8.95 Bn | - | 1.46 Bn |
| 6 | New York Times | 11.20 Bn | 8.69 Bn | 394.61 Mn | 236.03 Mn |
| 7 | Sirius Xm Holdings | 9.10 Bn | 8.68 Bn | 1.44 Bn | 762.00 Mn |
| 8 | Skydance | 7.66 Bn | 5.58 Bn | - | 6.62 Bn |
| 9 | Wpp | 5.68 Bn | -6.36 Bn | - | 9.52 Bn |
| 10 | Lee Enterprises | 145.06 Mn | 9.74 Mn | - | 44.93 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 44.93 Mn |
| Mar 29, 2026 | 45.57 Mn |
| Dec 28, 2025 | 51.11 Mn |
| Sep 28, 2025 | 54.61 Mn |
| Jun 29, 2025 | 57.11 Mn |
| Mar 30, 2025 | 62.34 Mn |
| Dec 29, 2024 | 59.54 Mn |
| Sep 29, 2024 | 60.65 Mn |
| Jun 23, 2024 | 61.22 Mn |
| Mar 24, 2024 | 59.19 Mn |
| Dec 24, 2023 | 68.10 Mn |
| Sep 24, 2023 | 69.10 Mn |
| Jun 25, 2023 | 69.18 Mn |
| Mar 26, 2023 | 67.59 Mn |
| Dec 25, 2022 | 75.41 Mn |
| Sep 25, 2022 | 69.52 Mn |
| Jun 26, 2022 | 74.91 Mn |
| Mar 27, 2022 | 67.73 Mn |
| Dec 26, 2021 | 73.19 Mn |
| Sep 26, 2021 | 65.07 Mn |
Lee Enterprises Receivables 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=receivables&ticker=LEE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=LEE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();