Usa Today (TDAY) Long-Term Debt Repayments (2013 - 2026)
Usa Today (TDAY) reported Long-Term Debt Repayments of $17.69 million for Q2 2026, down 24.5% from $23.43 million a year earlier but up 339.4% from the prior quarter.
Usa Today (TDAY) Long-Term Debt Repayments (2013 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Usa Today's Long-Term Debt Repayments came in at $59.35 million, down 91.6% year-over-year; for FY2025, it was $135.52 million, down 79.0% from FY2024.
- Long-Term Debt Repayments has a five-year compound annual growth rate of -27.6% (FY2020 to FY2025).
- By year, Long-Term Debt Repayments came in at $644.73 million in FY2024 (+381.8%), $133.82 million in FY2023 (-21.7%), $170.99 million in FY2022 (-92.1%) and $2.16 billion in FY2021 (+216.6%).
- Five-year quarterly Long-Term Debt Repayments spans a low of $4.03 million in Q1 2026 and a high of $2.16 billion in Q4 2021.
- Year over year, Long-Term Debt Repayments has now declined in each of the last five quarters, with growth averaging 11.4% over the last seven quarters.
- The high point for year-over-year Long-Term Debt Repayments in five years was Q1 2025 (growth of 386.9%); the low point was Q4 2022 (a decline of 98.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $4.03 million (Q1 2026), $19.13 million (Q4 2025) and $18.51 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Warner Bros. Discovery | 77.70 Bn | 63.36 Bn | 4.10 Bn | 15.25 Bn |
| 2 | Fox | 28.87 Bn | 14.68 Bn | - | - |
| 3 | Omnicom | 22.69 Bn | 4.78 Bn | 1.30 Bn | - |
| 4 | News | 17.02 Bn | 8.51 Bn | - | - |
| 5 | Pearson | 11.88 Bn | 8.99 Bn | - | - |
| 6 | New York Times | 11.24 Bn | 8.72 Bn | 394.61 Mn | - |
| 7 | Sirius Xm Holdings | 9.17 Bn | 8.75 Bn | 1.44 Bn | 388.00 Mn |
| 8 | Skydance | 7.82 Bn | 5.74 Bn | - | - |
| 9 | Wpp | 5.72 Bn | -6.32 Bn | - | - |
| 10 | Usa Today | 1.03 Bn | 695.01 Mn | 208.25 Mn | 17.69 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.69 Mn |
| Mar 31, 2026 | 4.03 Mn |
| Dec 31, 2025 | 19.13 Mn |
| Sep 30, 2025 | 18.51 Mn |
| Jun 30, 2025 | 38.08 Mn |
| Mar 31, 2025 | 74.45 Mn |
| Dec 31, 2024 | 824.83 Mn |
| Sep 30, 2024 | 28.54 Mn |
| Jun 30, 2024 | 24.29 Mn |
| Mar 31, 2024 | 15.29 Mn |
| Dec 31, 2023 | 21.93 Mn |
| Sep 30, 2023 | 60.60 Mn |
| Jun 30, 2023 | 15.11 Mn |
| Mar 31, 2023 | 36.18 Mn |
| Dec 31, 2022 | 43.43 Mn |
| Sep 30, 2022 | 22.69 Mn |
| Jun 30, 2022 | 34.40 Mn |
| Mar 31, 2022 | 70.48 Mn |
| Dec 31, 2021 | 950.31 Mn |
| Sep 30, 2021 | 91.15 Mn |
Usa Today Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=TDAY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "TDAY", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=long-term-debt-repayments&ticker=TDAY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();