Magnite (MGNI) Selling, General & Administrative (2013 - 2026)
Magnite (MGNI) recorded Selling, General & Administrative of $28.43 million in Q2 2026, up 26.3% from $22.51 million a year earlier and up 13.8% from the prior quarter.
Magnite (MGNI) Selling, General & Administrative (2013 - 2026) Analysis & Trends
On a TTM basis, Magnite's Selling, General & Administrative came in at $100.15 million as of Jun 30, 2026, up 6.5% year-over-year; for FY2025, it was $93.19 million, down 3.8% from FY2024.
- Annual Selling, General & Administrative has a five-year compound annual growth rate of 12.0% (FY2020 to FY2025).
- Across earlier years, Selling, General & Administrative came in at $96.86 million in FY2024 (+8.8%), $89.05 million in FY2023 (+9.4%), $81.38 million in FY2022 (+25.6%) and $64.79 million in FY2021 (+22.3%).
- The Q2 2026 figure is the highest quarterly Selling, General & Administrative in data going back to Q1 2013.
- On a year-over-year basis, Selling, General & Administrative rose in five of the last eight quarters, with growth averaging 5.1%.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 32.1% in Q1 2022, against a decline of 11.8% in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $24.98 million (Q1 2026), $22.19 million (Q4 2025) and $24.55 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,893.18 Bn | 3,650.71 Bn | 73.85 Bn | 6.46 Bn |
| 2 | Meta Platforms | 1,621.37 Bn | 1,323.89 Bn | 49.47 Bn | 5.61 Bn |
| 3 | Netflix | 276.08 Bn | 237.38 Bn | 6.80 Bn | 466.37 Mn |
| 4 | Alibaba Group Holding | 231.22 Bn | 44.99 Bn | 15.11 Bn | -1.87 Bn |
| 5 | Shopify | 216.73 Bn | 193.91 Bn | 1.71 Bn | 136.00 Mn |
| 6 | Uber Technologies | 138.40 Bn | 110.20 Bn | 6.38 Bn | 935.00 Mn |
| 7 | Booking Holdings | 121.10 Bn | 54.15 Bn | - | 217.00 Mn |
| 8 | Spotify Technology | 120.29 Bn | 77.20 Bn | 1.89 Bn | 165.66 Mn |
| 9 | PDD Holdings | 110.49 Bn | -133.29 Bn | 9.45 Bn | -345.00 Mn |
| 10 | Magnite | 3.25 Bn | 1.70 Bn | 130.79 Mn | 28.43 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 28.43 Mn |
| Mar 31, 2026 | 24.98 Mn |
| Dec 31, 2025 | 22.19 Mn |
| Sep 30, 2025 | 24.55 Mn |
| Jun 30, 2025 | 22.51 Mn |
| Mar 31, 2025 | 23.94 Mn |
| Dec 31, 2024 | 23.07 Mn |
| Sep 30, 2024 | 24.49 Mn |
| Jun 30, 2024 | 22.63 Mn |
| Mar 31, 2024 | 26.67 Mn |
| Dec 31, 2023 | 21.03 Mn |
| Sep 30, 2023 | 21.29 Mn |
| Jun 30, 2023 | 25.65 Mn |
| Mar 31, 2023 | 21.09 Mn |
| Dec 31, 2022 | 21.98 Mn |
| Sep 30, 2022 | 20.24 Mn |
| Jun 30, 2022 | 20.47 Mn |
| Mar 31, 2022 | 18.70 Mn |
| Dec 31, 2021 | 17.12 Mn |
| Sep 30, 2021 | 16.54 Mn |
Magnite Selling, General & Administrative 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=selling-general-and-administrative&ticker=MGNI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=MGNI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();