Republic Airways Holdings (RJET) Property, Plant & Equipment (Net) (2017 - 2026)
Republic Airways Holdings' Property, Plant & Equipment (Net) was $2.42 billion in Q2 2026, compared with $31.85 million a year earlier and down 1.6% from the prior quarter.
Republic Airways Holdings (RJET) Property, Plant & Equipment (Net) (2017 - 2026) Analysis & Trends
At the end of FY2025, Property, Plant & Equipment (Net) at Republic Airways Holdings came in at $2.41 billion, up 14.2% from FY2024.
- Property, Plant & Equipment (Net) shows a five-year compound annual growth rate of 14.7% (FY2020 to FY2025).
- In earlier years, Property, Plant & Equipment (Net) was $2.11 billion in FY2024 (+294.7%), $534.46 million in FY2023, $865.25 million in FY2022 (-24.9%) and $1.15 billion in FY2021 (-5.0%).
- Quarterly Property, Plant & Equipment (Net) has moved between $31.5 million (Q3 2025) and $2.46 billion (Q1 2026) over five years.
- The best year-over-year quarter for Property, Plant & Equipment (Net) over five years was Q4 2024 (growth of 294.7%); the worst was Q1 2025 (a decline of 93.0%).
- Per Business Quant data, RJET's Property, Plant & Equipment (Net) in the three quarters before Q2 2026 was $2.46 billion (Q1 2026), $2.41 billion (Q4 2025) and $31.5 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 165.28 Bn | 159.81 Bn | - | 60.20 Bn |
| 2 | Csx | 87.86 Bn | 84.08 Bn | - | 36.95 Bn |
| 3 | Canadian Pacific Kansas City | 75.56 Bn | 75.27 Bn | - | 41.33 Bn |
| 4 | Norfolk Southern | 71.27 Bn | 65.91 Bn | - | 36.63 Bn |
| 5 | United Parcel Service | 69.70 Bn | 46.62 Bn | - | 37.89 Bn |
| 6 | Fedex | 68.71 Bn | 34.65 Bn | - | 42.04 Bn |
| 7 | Delta Air Lines | 55.32 Bn | 37.50 Bn | - | 41.54 Bn |
| 8 | Old Dominion Freight Line | 37.44 Bn | 36.71 Bn | - | 4.44 Bn |
| 9 | United Airlines Holdings | 36.52 Bn | -19.85 Bn | - | 47.96 Bn |
| 10 | Republic Airways Holdings | 809.54 Mn | -76.69 Mn | - | 2.42 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.42 Bn |
| Mar 31, 2026 | 2.46 Bn |
| Dec 31, 2025 | 2.41 Bn |
| Sep 30, 2025 | 31.50 Mn |
| Jun 30, 2025 | 31.85 Mn |
| Mar 31, 2025 | 36.85 Mn |
| Dec 31, 2024 | 2.11 Bn |
| Sep 30, 2024 | 426.35 Mn |
| Mar 31, 2024 | 529.48 Mn |
| Dec 31, 2023 | 534.46 Mn |
| Sep 30, 2023 | 698.02 Mn |
| Jun 30, 2023 | 709.69 Mn |
| Mar 31, 2023 | 868.03 Mn |
| Dec 31, 2022 | 945.55 Mn |
| Sep 30, 2022 | 865.25 Mn |
| Jun 30, 2022 | 1.07 Bn |
| Mar 31, 2022 | 1.06 Bn |
| Dec 31, 2021 | 1.16 Bn |
| Sep 30, 2021 | 1.15 Bn |
| Jun 30, 2021 | 1.16 Bn |
Republic Airways Holdings 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=RJET&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "RJET", "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=RJET&period=max&api_key=YOUR_API_KEY");
const data = await res.json();