Magnite (MGNI) Restructuring Costs (2016 - 2023)
Magnite's Restructuring Costs came in at $200,000 for FY2025.
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Analysis
Magnite (MGNI) Restructuring Costs (2016 - 2023) Analysis & Trends
Going back to FY2016, Magnite's Restructuring Costs data covers 9 years.
- Restructuring Costs carries a five-year compound annual growth rate of -59.1% (FY2020 to FY2025).
- The FY2025 figure represents the lowest annual Restructuring Costs in data going back to FY2016.
- Per Business Quant, earlier years put Restructuring Costs at $7.5 million in FY2023 (+0.4%), $7.47 million in FY2022 (-80.4%) and $38.18 million in FY2021 (+117.5%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,180.92 Bn | 3,938.44 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,847.76 Bn | 1,550.28 Bn | 49.47 Bn |
| 3 | Netflix | 289.73 Bn | 249.92 Bn | 6.52 Bn |
| 4 | Alibaba Group Holding | 249.81 Bn | 67.68 Bn | 15.11 Bn |
| 5 | Shopify | 192.08 Bn | 169.26 Bn | 1.71 Bn |
| 6 | Uber Technologies | 139.76 Bn | 111.74 Bn | 6.38 Bn |
| 7 | Booking Holdings | 122.41 Bn | 55.46 Bn | - |
| 8 | PDD Holdings | 110.94 Bn | -140.99 Bn | 9.45 Bn |
| 9 | Spotify Technology | 100.32 Bn | 57.56 Bn | 1.86 Bn |
| 10 | Magnite | 3.62 Bn | 2.07 Bn | 130.79 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2023 | 7.50 Mn |
| Dec 31, 2022 | -32,000.00 |
| Jun 30, 2022 | 712,000.00 |
| Mar 31, 2022 | 6.80 Mn |
| Dec 31, 2021 | 377,000.00 |
| Sep 30, 2021 | 2.42 Mn |
| Jun 30, 2021 | 32.63 Mn |
| Mar 31, 2021 | 2.72 Mn |
| Dec 31, 2020 | 875,000.00 |
| Sep 30, 2020 | 2.25 Mn |
| Jun 30, 2020 | 12.49 Mn |
| Mar 31, 2020 | 1.93 Mn |
| Dec 31, 2019 | 2.04 Mn |
| Jun 30, 2018 | 974,000.00 |
| Mar 31, 2018 | 2.47 Mn |
| Jun 30, 2017 | 1.62 Mn |
| Mar 31, 2017 | 4.34 Mn |
| Dec 31, 2016 | 3.32 Mn |
API Access
Magnite Restructuring Costs 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=restructuring-costs&ticker=MGNI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=MGNI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();