New York Times (NYT) Operating Expenses (2009 - 2026)
New York Times (NYT) posted Operating Expenses of $644.44 million for Q2 2026, up 11.2% from $579.32 million a year earlier and up 3.7% from the prior quarter.
New York Times (NYT) Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at New York Times was $2.5 billion, up 8.8% year-over-year; for FY2025, it was $2.39 billion, up 7.1% from FY2024.
- Annual Operating Expenses has increased for five consecutive years, with a five-year compound annual growth rate of 8.3% (FY2020 to FY2025).
- In prior years, New York Times' Operating Expenses was $2.23 billion in FY2024 (+4.0%), $2.15 billion in FY2023 (+2.1%), $2.11 billion in FY2022 (+16.6%) and $1.81 billion in FY2021 (+12.4%).
- The Q2 2026 figure stands as the highest quarterly Operating Expenses in data going back to Q2 2009.
- On a year-over-year basis, Operating Expenses has increased in each of the last ten quarters, with growth averaging 7.3% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q2 2022, with growth of 19.6%; the weakest was Q4 2023, with a decline of 4.8%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $621.62 million (Q1 2026), $640.73 million (Q4 2025) and $596.03 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Warner Bros. Discovery | 77.50 Bn | 63.16 Bn | 4.10 Bn | 8.48 Bn |
| 2 | Fox | 27.18 Bn | 13.09 Bn | - | 2.38 Bn |
| 3 | Omnicom | 20.60 Bn | 3.30 Bn | 1.30 Bn | 5.64 Bn |
| 4 | News | 16.19 Bn | 8.39 Bn | - | 991.00 Mn |
| 5 | Paramount Skydance | 11.39 Bn | 9.31 Bn | - | - |
| 6 | New York Times | 10.30 Bn | 7.79 Bn | 394.61 Mn | 644.44 Mn |
| 7 | Pearson | 10.14 Bn | 7.28 Bn | - | - |
| 8 | Sirius Xm Holdings | 8.74 Bn | 8.32 Bn | 1.44 Bn | 1.69 Bn |
| 9 | 36Kr Holdings | 6.25 Bn | 6.19 Bn | - | - |
| 10 | Wpp | 5.52 Bn | -6.28 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 644.44 Mn |
| Mar 31, 2026 | 621.62 Mn |
| Dec 31, 2025 | 640.73 Mn |
| Sep 30, 2025 | 596.03 Mn |
| Jun 30, 2025 | 579.32 Mn |
| Mar 31, 2025 | 577.28 Mn |
| Dec 31, 2024 | 579.99 Mn |
| Sep 30, 2024 | 563.45 Mn |
| Jun 30, 2024 | 545.69 Mn |
| Mar 31, 2024 | 545.70 Mn |
| Dec 31, 2023 | 547.19 Mn |
| Sep 30, 2023 | 534.78 Mn |
| Jun 30, 2023 | 535.08 Mn |
| Mar 31, 2023 | 532.84 Mn |
| Dec 31, 2022 | 574.53 Mn |
| Sep 25, 2022 | 496.67 Mn |
| Jun 26, 2022 | 504.02 Mn |
| Mar 27, 2022 | 496.43 Mn |
| Dec 26, 2021 | 503.95 Mn |
| Sep 26, 2021 | 460.13 Mn |
New York Times Operating 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=operating-expenses&ticker=NYT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=NYT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();