New York Times (NYT) Change in Accrued Expenses (2009 - 2026)
New York Times (NYT) reported Change in Accrued Expenses of $23.93 million for Q3 2026, down 61.0% from $61.29 million a year earlier and down 57.9% from the prior quarter.
New York Times (NYT) Change in Accrued Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, New York Times' Change in Accrued Expenses came in at $51.81 million, up 23.3% year-over-year; for FY2025, it was $55.65 million.
- Change in Accrued Expenses has a five-year compound annual growth rate of 45.7% (FY2020 to FY2025).
- By year, Change in Accrued Expenses came in at -$21.03 million in FY2024, -$7.32 million in FY2023, -$111.22 million in FY2022 and $39.7 million in FY2021 (+368.5%).
- Five-year quarterly Change in Accrued Expenses spans a low of -$98.64 million in Q1 2026 and a high of $69.7 million in Q4 2025.
- Year over year, Change in Accrued Expenses gained in four of the last five quarters, with growth averaging 67.4%.
- The high point for year-over-year Change in Accrued Expenses in five years was Q2 2026 (growth of 235.8%); the low point was Q3 2022 (a decline of 78.8%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $56.83 million (Q2 2026), -$98.64 million (Q1 2026) and $69.7 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Skydance | 38.27 Bn | 31.11 Bn | 2.37 Bn | - |
| 2 | Fox | 28.80 Bn | 14.55 Bn | - | -179.00 Mn |
| 3 | Omnicom | 24.00 Bn | 6.07 Bn | 1.36 Bn | - |
| 4 | News | 14.59 Bn | 7.22 Bn | - | -139.00 Mn |
| 5 | New York Times | 11.58 Bn | 9.01 Bn | 395.07 Mn | 23.93 Mn |
| 6 | Pearson | 11.06 Bn | 8.20 Bn | - | - |
| 7 | Sirius Xm Holdings | 10.73 Bn | 10.18 Bn | 1.43 Bn | -89.00 Mn |
| 8 | Nexstar Media | 6.41 Bn | 5.06 Bn | 1.20 Bn | 165.00 Mn |
| 9 | Wpp | 5.99 Bn | -5.80 Bn | - | - |
| 10 | Versant Media | 4.96 Bn | 1.30 Bn | 715.00 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 23.93 Mn |
| Jun 30, 2026 | 56.83 Mn |
| Mar 31, 2026 | -98.64 Mn |
| Dec 31, 2025 | 69.70 Mn |
| Sep 30, 2025 | 61.29 Mn |
| Jun 30, 2025 | 16.92 Mn |
| Mar 31, 2025 | -92.26 Mn |
| Dec 31, 2024 | 56.06 Mn |
| Sep 30, 2024 | 26.54 Mn |
| Jun 30, 2024 | -10.57 Mn |
| Mar 31, 2024 | -93.07 Mn |
| Dec 31, 2023 | 52.38 Mn |
| Sep 30, 2023 | 19.61 Mn |
| Jun 30, 2023 | -22.20 Mn |
| Mar 31, 2023 | -57.10 Mn |
| Dec 31, 2022 | -5.04 Mn |
| Sep 25, 2022 | 14.71 Mn |
| Jun 26, 2022 | -45.32 Mn |
| Mar 27, 2022 | -75.57 Mn |
| Dec 26, 2021 | 24.39 Mn |
New York Times Change in Accrued 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=change-in-accured-expenses&ticker=NYT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "NYT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=change-in-accured-expenses&ticker=NYT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();