Mediaco Holding (MDIA) Property, Plant & Equipment (Net) (2019 - 2026)
Mediaco Holding's Property, Plant & Equipment (Net) came in at $14.84 million for Q2 2026, down 22.7% from $19.19 million a year earlier and down 8.8% from the prior quarter.
Mediaco Holding (MDIA) Property, Plant & Equipment (Net) (2019 - 2026) Analysis & Trends
At the end of FY2025, Mediaco Holding's Property, Plant & Equipment (Net) was $17.64 million, down 13.3% from FY2024.
- Property, Plant & Equipment (Net) carries a five-year compound annual growth rate of -8.6% (FY2020 to FY2025).
- Going back by year, Property, Plant & Equipment (Net) was $20.35 million in FY2024, $1.38 million in FY2023 (+137.5%), $581,000 in FY2022 (-50.6%) and $1.18 million in FY2021 (-95.7%).
- The Q2 2026 figure represents the lowest quarterly Property, Plant & Equipment (Net) since Q1 2024.
- Year-over-year, Property, Plant & Equipment (Net) has declined for four consecutive quarters, with an average decline of 11.0% over the last five quarters.
- The fastest year-over-year change in Property, Plant & Equipment (Net) over five years came in Q4 2023 (growth of 137.5%), and the weakest in Q1 2023 (a decline of 97.3%).
- Business Quant data shows MDIA's Property, Plant & Equipment (Net) at $16.27 million (Q1 2026), $17.64 million (Q4 2025) and $18.62 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Warner Bros. Discovery | 77.70 Bn | 63.36 Bn | 4.10 Bn | 6.65 Bn |
| 2 | Fox | 28.87 Bn | 14.68 Bn | - | 1.84 Bn |
| 3 | Omnicom | 22.69 Bn | 4.78 Bn | 1.30 Bn | 995.80 Mn |
| 4 | News | 17.02 Bn | 8.51 Bn | - | 1.40 Bn |
| 5 | Pearson | 11.88 Bn | 8.99 Bn | - | 282.81 Mn |
| 6 | New York Times | 11.24 Bn | 8.72 Bn | 394.61 Mn | 455.18 Mn |
| 7 | Sirius Xm Holdings | 9.17 Bn | 8.75 Bn | 1.44 Bn | 2.29 Bn |
| 8 | Skydance | 7.82 Bn | 5.74 Bn | - | 2.20 Bn |
| 9 | Wpp | 5.72 Bn | -6.32 Bn | - | 895.97 Mn |
| 10 | Mediaco Holding | 90.02 Mn | 73.75 Mn | -1.26 Mn | 14.84 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.84 Mn |
| Mar 31, 2026 | 16.27 Mn |
| Dec 31, 2025 | 17.64 Mn |
| Sep 30, 2025 | 18.62 Mn |
| Jun 30, 2025 | 19.19 Mn |
| Mar 31, 2025 | 19.68 Mn |
| Dec 31, 2024 | 20.35 Mn |
| Sep 30, 2024 | 19.22 Mn |
| Jun 30, 2024 | 18.90 Mn |
| Mar 31, 2024 | 1.47 Mn |
| Dec 31, 2023 | 1.38 Mn |
| Sep 30, 2023 | 1.36 Mn |
| Jun 30, 2023 | 1.12 Mn |
| Mar 31, 2023 | 727,000.00 |
| Dec 31, 2022 | 581,000.00 |
| Sep 30, 2022 | 24.84 Mn |
| Jun 30, 2022 | 26.45 Mn |
| Mar 31, 2022 | 26.52 Mn |
| Dec 31, 2021 | 1.18 Mn |
| Sep 30, 2021 | 27.06 Mn |
Mediaco Holding Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=MDIA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "MDIA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=property-plant-and-equipment-net&ticker=MDIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();