New York Times (NYT) Research & Development (2019 - 2026)
New York Times (NYT) posted Research & Development of $70.35 million for Q2 2026, up 10.0% from $63.94 million a year earlier and up 0.2% from the prior quarter.
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Analysis
New York Times (NYT) Research & Development (2019 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Research & Development at New York Times was $274.41 million, up 8.3% year-over-year; for FY2025, it was $264.35 million, up 6.5% from FY2024.
- Annual Research & Development has increased for seven consecutive years, with a five-year compound annual growth rate of 14.7% (FY2020 to FY2025).
- In prior years, New York Times' Research & Development was $248.2 million in FY2024 (+8.5%), $228.8 million in FY2023 (+12.1%), $204.19 million in FY2022 (+26.9%) and $160.87 million in FY2021 (+20.6%).
- The Q2 2026 figure stands as the highest quarterly Research & Development in data going back to Q1 2019.
- On a year-over-year basis, Research & Development has increased in each of the last 26 quarters, with growth averaging 6.7% over the last eight quarters.
- Across the past five years, year-over-year growth in Research & Development ran from 2.8% in Q2 2025 to 33.3% in Q4 2022.
- According to Business Quant data, Research & Development for the three prior quarters was $70.19 million (Q1 2026), $66.88 million (Q4 2025) and $66.99 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Fox | 28.28 Bn | 13.92 Bn | - | - |
| 2 | Omnicom | 24.10 Bn | 5.80 Bn | 1.36 Bn | - |
| 3 | News | 14.65 Bn | 6.14 Bn | - | - |
| 4 | New York Times | 11.34 Bn | 8.77 Bn | 395.07 Mn | 72.28 Mn |
| 5 | Pearson | 11.15 Bn | 8.26 Bn | - | - |
| 6 | Sirius Xm Holdings | 11.13 Bn | 10.58 Bn | 1.43 Bn | 64.00 Mn |
| 7 | Skydance | 9.27 Bn | 9.27 Bn | - | - |
| 8 | Nexstar Media | 6.05 Bn | 4.67 Bn | 1.20 Bn | - |
| 9 | Wpp | 5.93 Bn | -6.11 Bn | - | - |
| 10 | Versant Media | 4.75 Bn | 973.99 Mn | 715.00 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 72.28 Mn |
| Jun 30, 2026 | 70.35 Mn |
| Mar 31, 2026 | 70.19 Mn |
| Dec 31, 2025 | 66.88 Mn |
| Sep 30, 2025 | 66.99 Mn |
| Jun 30, 2025 | 63.94 Mn |
| Mar 31, 2025 | 66.54 Mn |
| Dec 31, 2024 | 61.76 Mn |
| Sep 30, 2024 | 61.03 Mn |
| Jun 30, 2024 | 62.22 Mn |
| Mar 31, 2024 | 63.19 Mn |
| Dec 31, 2023 | 58.26 Mn |
| Sep 30, 2023 | 57.43 Mn |
| Jun 30, 2023 | 56.05 Mn |
| Mar 31, 2023 | 57.06 Mn |
| Dec 31, 2022 | 55.46 Mn |
| Sep 25, 2022 | 50.47 Mn |
| Jun 26, 2022 | 50.82 Mn |
| Mar 27, 2022 | 47.43 Mn |
| Dec 26, 2021 | 41.59 Mn |
API Access
New York Times Research & Development 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=research-and-development&ticker=NYT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=NYT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();