Magnite (MGNI) Capital Expenditures (2013 - 2026)
Magnite's Capital Expenditures was $12.13 million in Q2 2026, down 3.0% from $12.51 million a year earlier but up 29.1% from the prior quarter.
Magnite (MGNI) Capital Expenditures (2013 - 2026) Analysis & Trends
On a trailing twelve-month basis, Magnite's Capital Expenditures was $65.18 million through Jun 30, 2026, up 45.9% year-over-year; for FY2025, it was $70.54 million, up 115.0% from FY2024.
- Capital Expenditures shows a five-year compound annual growth rate of 37.6% (FY2020 to FY2025).
- In earlier years, Capital Expenditures was $32.81 million in FY2024 (+22.6%), $26.76 million in FY2023 (-13.1%), $30.82 million in FY2022 (+74.1%) and $17.7 million in FY2021 (+23.8%).
- Quarterly Capital Expenditures has moved between $1.47 million (Q2 2022) and $25.4 million (Q4 2025) over five years.
- Compared with a year earlier, Capital Expenditures was higher in five of the last eight quarters, with growth averaging 114.1%.
- The best year-over-year quarter for Capital Expenditures over five years was Q4 2025 (growth of 581.4%); the worst was Q2 2022 (a decline of 84.7%).
- Per Business Quant data, MGNI's Capital Expenditures in the three quarters before Q2 2026 was $9.4 million (Q1 2026), $25.4 million (Q4 2025) and $18.24 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,924.29 Bn | 3,681.81 Bn | 73.85 Bn | 44.92 Bn |
| 2 | Meta Platforms | 1,641.81 Bn | 1,344.33 Bn | 49.47 Bn | 30.12 Bn |
| 3 | Netflix | 275.91 Bn | 237.21 Bn | 6.80 Bn | 278.77 Mn |
| 4 | Alibaba Group Holding | 235.81 Bn | 49.59 Bn | 15.11 Bn | -9.97 Bn |
| 5 | Shopify | 218.39 Bn | 195.58 Bn | 1.71 Bn | 4.00 Mn |
| 6 | Uber Technologies | 140.20 Bn | 112.00 Bn | 6.38 Bn | 70.00 Mn |
| 7 | Booking Holdings | 123.99 Bn | 57.04 Bn | - | 76.00 Mn |
| 8 | Spotify Technology | 119.36 Bn | 76.86 Bn | 1.86 Bn | -23.25 Mn |
| 9 | PDD Holdings | 110.55 Bn | -133.22 Bn | 9.45 Bn | - |
| 10 | Magnite | 3.29 Bn | 1.74 Bn | 130.79 Mn | 12.13 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.13 Mn |
| Mar 31, 2026 | 9.40 Mn |
| Dec 31, 2025 | 25.40 Mn |
| Sep 30, 2025 | 18.24 Mn |
| Jun 30, 2025 | 12.51 Mn |
| Mar 31, 2025 | 14.38 Mn |
| Dec 31, 2024 | 3.73 Mn |
| Sep 30, 2024 | 14.04 Mn |
| Jun 30, 2024 | 9.17 Mn |
| Mar 31, 2024 | 5.87 Mn |
| Dec 31, 2023 | 9.63 Mn |
| Sep 30, 2023 | 4.41 Mn |
| Jun 30, 2023 | 8.33 Mn |
| Mar 31, 2023 | 4.40 Mn |
| Dec 31, 2022 | 12.81 Mn |
| Sep 30, 2022 | 9.35 Mn |
| Jun 30, 2022 | 1.47 Mn |
| Mar 31, 2022 | 7.18 Mn |
| Dec 31, 2021 | 3.71 Mn |
| Sep 30, 2021 | 3.05 Mn |
Magnite Capital Expenditures 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=capital-expenditures&ticker=MGNI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=MGNI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();