McGraw Hill (MH) EBITDA (2024 - 2026)
McGraw Hill (MH) recorded EBITDA of $229.82 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 8.0% from $212.88 million a year earlier and up 177.4% from the prior quarter.
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Analysis
McGraw Hill (MH) EBITDA (2024 - 2026) Analysis & Trends
On a TTM basis, McGraw Hill's EBITDA came in at $697.97 million as of Jun 30, 2026, down 4.4% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $681.03 million, down 3.7% from FY2025.
- Across earlier fiscal years, EBITDA came in at $707.52 million in FY2025 (+28.0%) and $552.57 million in FY2024.
- Quarterly EBITDA has ranged from $82.86 million in fiscal Q4 2026 to $283.49 million in fiscal Q2 2025 over the past five years.
- On a year-over-year basis, EBITDA rose in three of the last five quarters, with an average decline of 2.5%.
- Per Business Quant, the preceding three fiscal quarters came in at $82.86 million (Q4 2026), $125.86 million (Q3 2026) and $259.42 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Warner Bros. Discovery | 77.70 Bn | 63.36 Bn | 4.10 Bn | 1.40 Bn |
| 2 | Fox | 28.11 Bn | 13.92 Bn | - | 1.03 Bn |
| 3 | Omnicom | 22.23 Bn | 4.31 Bn | 1.30 Bn | 1.09 Bn |
| 4 | News | 16.74 Bn | 8.22 Bn | - | 406.00 Mn |
| 5 | Pearson | 11.85 Bn | 8.96 Bn | - | - |
| 6 | New York Times | 11.03 Bn | 8.52 Bn | 394.61 Mn | 139.14 Mn |
| 7 | Sirius Xm Holdings | 9.04 Bn | 8.62 Bn | 1.44 Bn | 641.00 Mn |
| 8 | Skydance | 7.82 Bn | 5.74 Bn | - | - |
| 9 | Wpp | 5.74 Bn | -6.31 Bn | - | - |
| 10 | McGraw Hill | 2.65 Bn | 1.22 Bn | 439.20 Mn | 187.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 187.30 Mn |
| Mar 31, 2026 | 70.92 Mn |
| Dec 31, 2025 | 113.12 Mn |
| Sep 30, 2025 | 234.12 Mn |
| Jun 30, 2025 | 174.13 Mn |
| Mar 31, 2025 | 108.07 Mn |
| Dec 31, 2024 | 108.49 Mn |
| Sep 30, 2024 | 261.29 Mn |
| Jun 30, 2024 | 155.38 Mn |
API Access
McGraw Hill 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=MH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "MH", "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=MH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();