Magnite (MGNI) Operating Expenses (2013 - 2026)
Magnite (MGNI) posted Operating Expenses of $161.6 million for Q2 2026, up 6.8% from $151.37 million a year earlier and up 3.2% from the prior quarter.
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Analysis
Magnite (MGNI) Operating Expenses (2013 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Magnite was $626.1 million, up 2.8% year-over-year; for FY2025, it came in at $616.35 million, down 0.1% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 17.4% (FY2020 to FY2025).
- In prior years, Magnite's Operating Expenses was $617.08 million in FY2024 (-20.3%), $774.72 million in FY2023 (+12.3%), $689.85 million in FY2022 (+25.5%) and $549.48 million in FY2021 (+99.2%).
- The Q2 2026 figure stands as the highest quarterly Operating Expenses since Q1 2024.
- On a year-over-year basis, Operating Expenses increased in three of the last eight quarters, with an average decline of 0.6%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q3 2021, with growth of 116.6%; the weakest was Q2 2024, with a decline of 31.7%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $156.65 million (Q1 2026), $153.39 million (Q4 2025) and $154.45 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,180.92 Bn | 3,938.44 Bn | 73.85 Bn | 79.03 Bn |
| 2 | Meta Platforms | 1,847.76 Bn | 1,550.28 Bn | 49.47 Bn | 42.03 Bn |
| 3 | Netflix | 289.73 Bn | 249.92 Bn | 6.52 Bn | 1.51 Bn |
| 4 | Alibaba Group Holding | 249.81 Bn | 67.68 Bn | 15.11 Bn | -5.17 Bn |
| 5 | Shopify | 192.08 Bn | 169.26 Bn | 1.71 Bn | 1.22 Bn |
| 6 | Uber Technologies | 139.76 Bn | 111.74 Bn | 6.38 Bn | 12.30 Bn |
| 7 | Booking Holdings | 122.41 Bn | 55.46 Bn | - | 4.85 Bn |
| 8 | PDD Holdings | 110.94 Bn | -140.99 Bn | 9.45 Bn | -5.39 Bn |
| 9 | Spotify Technology | 100.32 Bn | 57.56 Bn | 1.86 Bn | 640.46 Mn |
| 10 | Magnite | 3.62 Bn | 2.07 Bn | 130.79 Mn | 161.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 161.60 Mn |
| Mar 31, 2026 | 156.65 Mn |
| Dec 31, 2025 | 153.39 Mn |
| Sep 30, 2025 | 154.45 Mn |
| Jun 30, 2025 | 151.37 Mn |
| Mar 31, 2025 | 157.14 Mn |
| Dec 31, 2024 | 153.75 Mn |
| Sep 30, 2024 | 146.88 Mn |
| Jun 30, 2024 | 153.31 Mn |
| Mar 31, 2024 | 163.15 Mn |
| Dec 31, 2023 | 151.81 Mn |
| Sep 30, 2023 | 167.93 Mn |
| Jun 30, 2023 | 224.34 Mn |
| Mar 31, 2023 | 230.65 Mn |
| Dec 31, 2022 | 203.94 Mn |
| Sep 30, 2022 | 166.97 Mn |
| Jun 30, 2022 | 161.04 Mn |
| Mar 31, 2022 | 157.90 Mn |
| Dec 31, 2021 | 157.65 Mn |
| Sep 30, 2021 | 155.82 Mn |
API Access
Magnite 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=MGNI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "MGNI", "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=MGNI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();