Quad (QUAD) Operating Expenses (2010 - 2026)
Quad's Operating Expenses was $562.6 million in Q2 2026, up 0.8% from $558.2 million a year earlier but down 0.1% from the prior quarter.
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Analysis
Quad (QUAD) Operating Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Quad's Operating Expenses was $2.28 billion through Jun 30, 2026, down 10.1% year-over-year; for FY2025, it came in at $2.32 billion, down 12.4% from FY2024.
- Operating Expenses has now declined for three consecutive years, with a five-year compound annual growth rate of -4.8% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $2.65 billion in FY2024 (-9.5%), $2.93 billion in FY2023 (-7.3%), $3.16 billion in FY2022 (+10.3%) and $2.87 billion in FY2021 (-3.6%).
- Quarterly Operating Expenses has moved between $558.2 million (Q2 2025) and $876.5 million (Q4 2022) over five years.
- Compared with a year earlier, Operating Expenses was higher in 1 of the last eight quarters, with an average decline of 8.7%.
- The best year-over-year quarter for Operating Expenses over five years was Q3 2022 (growth of 18.7%); the worst was Q3 2025 (a decline of 17.4%).
- Per Business Quant data, QUAD's Operating Expenses in the three quarters before Q2 2026 was $563.3 million (Q1 2026), $593.3 million (Q4 2025) and $561.6 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Warner Bros. Discovery | 77.70 Bn | 63.36 Bn | 4.10 Bn | 8.48 Bn |
| 2 | Fox | 28.87 Bn | 14.68 Bn | - | 2.38 Bn |
| 3 | Omnicom | 22.69 Bn | 4.78 Bn | 1.30 Bn | 5.64 Bn |
| 4 | News | 17.02 Bn | 8.51 Bn | - | 991.00 Mn |
| 5 | Pearson | 11.88 Bn | 8.99 Bn | - | - |
| 6 | New York Times | 11.24 Bn | 8.72 Bn | 394.61 Mn | 644.44 Mn |
| 7 | Sirius Xm Holdings | 9.17 Bn | 8.75 Bn | 1.44 Bn | 1.69 Bn |
| 8 | Skydance | 7.82 Bn | 5.74 Bn | - | - |
| 9 | Wpp | 5.72 Bn | -6.32 Bn | - | - |
| 10 | Quad | 456.96 Mn | 373.06 Mn | 121.40 Mn | 562.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 562.60 Mn |
| Mar 31, 2026 | 563.30 Mn |
| Dec 31, 2025 | 593.30 Mn |
| Sep 30, 2025 | 561.60 Mn |
| Jun 30, 2025 | 558.20 Mn |
| Mar 31, 2025 | 609.80 Mn |
| Dec 31, 2024 | 688.70 Mn |
| Sep 30, 2024 | 679.70 Mn |
| Jun 30, 2024 | 619.10 Mn |
| Mar 31, 2024 | 665.50 Mn |
| Dec 31, 2023 | 784.40 Mn |
| Sep 30, 2023 | 686.50 Mn |
| Jun 30, 2023 | 694.70 Mn |
| Mar 31, 2023 | 766.40 Mn |
| Dec 31, 2022 | 876.50 Mn |
| Sep 30, 2022 | 804.70 Mn |
| Jun 30, 2022 | 743.50 Mn |
| Mar 31, 2022 | 738.80 Mn |
| Dec 31, 2021 | 858.80 Mn |
| Sep 30, 2021 | 678.10 Mn |
API Access
Quad 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=QUAD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "QUAD", "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=QUAD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();