New York Times (NYT) EBITDA (2009 - 2026)
New York Times' EBITDA was $139.14 million in Q2 2026, up 8.7% from $127.95 million a year earlier and up 25.1% from the prior quarter.
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Analysis
New York Times (NYT) EBITDA (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, New York Times' EBITDA was $558.93 million through Jun 30, 2026, up 18.2% year-over-year; for FY2025, it came in at $516.56 million, up 19.0% from FY2024.
- EBITDA has now increased for three consecutive years, with a five-year compound annual growth rate of 16.7% (FY2020 to FY2025).
- In earlier years, EBITDA was $434.03 million in FY2024 (+19.8%), $362.39 million in FY2023 (+27.3%), $284.62 million in FY2022 (-12.6%) and $325.54 million in FY2021 (+36.6%).
- Quarterly EBITDA has moved between $24.97 million (Q1 2022) and $182.48 million (Q4 2025) over five years.
- Compared with a year earlier, EBITDA has increased for 16 straight quarters, with growth averaging 19.4% over the last eight quarters.
- The best year-over-year quarter for EBITDA over five years was Q1 2023 (growth of 95.2%); the worst was Q1 2022 (a decline of 62.4%).
- Per Business Quant data, NYT's EBITDA in the three quarters before Q2 2026 was $111.18 million (Q1 2026), $182.48 million (Q4 2025) and $126.13 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Warner Bros. Discovery | 77.50 Bn | 63.16 Bn | 4.10 Bn | 1.40 Bn |
| 2 | Fox | 27.18 Bn | 13.09 Bn | - | 1.03 Bn |
| 3 | Omnicom | 20.60 Bn | 3.30 Bn | 1.30 Bn | 1.09 Bn |
| 4 | News | 16.19 Bn | 8.39 Bn | - | 406.00 Mn |
| 5 | Paramount Skydance | 11.39 Bn | 9.31 Bn | - | - |
| 6 | New York Times | 10.30 Bn | 7.79 Bn | 394.61 Mn | 139.14 Mn |
| 7 | Pearson | 10.14 Bn | 7.28 Bn | - | - |
| 8 | Sirius Xm Holdings | 8.74 Bn | 8.32 Bn | 1.44 Bn | 637.00 Mn |
| 9 | 36Kr Holdings | 6.25 Bn | 6.19 Bn | - | - |
| 10 | Wpp | 5.52 Bn | -6.28 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 139.14 Mn |
| Mar 31, 2026 | 111.18 Mn |
| Dec 31, 2025 | 182.48 Mn |
| Sep 30, 2025 | 126.13 Mn |
| Jun 30, 2025 | 127.95 Mn |
| Mar 31, 2025 | 80.01 Mn |
| Dec 31, 2024 | 167.71 Mn |
| Sep 30, 2024 | 97.35 Mn |
| Jun 30, 2024 | 99.95 Mn |
| Mar 31, 2024 | 69.03 Mn |
| Dec 31, 2023 | 150.97 Mn |
| Sep 30, 2023 | 85.04 Mn |
| Jun 30, 2023 | 77.63 Mn |
| Mar 31, 2023 | 48.74 Mn |
| Dec 31, 2022 | 114.51 Mn |
| Sep 25, 2022 | 72.78 Mn |
| Jun 26, 2022 | 72.37 Mn |
| Mar 27, 2022 | 24.97 Mn |
| Dec 26, 2021 | 108.09 Mn |
| Sep 26, 2021 | 63.30 Mn |
API Access
New York Times EBITDA 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=ebitda&ticker=NYT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=NYT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();