Republic Airways Holdings (RJET) Cash & Equivalents (2017 - 2026)
Republic Airways Holdings' Cash & Equivalents was $115.7 million in Q2 2026, up 172.4% from $42.47 million a year earlier and up 4.0% from the prior quarter.
Republic Airways Holdings (RJET) Cash & Equivalents (2017 - 2026) Analysis & Trends
At the end of FY2025, Cash & Equivalents at Republic Airways Holdings came in at $134.3 million, up 21.5% from FY2024.
- Cash & Equivalents shows a five-year compound annual growth rate of 6.2% (FY2020 to FY2025).
- In earlier years, Cash & Equivalents was $110.5 million in FY2024 (+587.7%), $16.07 million in FY2023, $57.68 million in FY2022 (-52.1%) and $120.52 million in FY2021 (+21.3%).
- Quarterly Cash & Equivalents has moved between $16.07 million (Q4 2023) and $180.4 million (Q3 2021) over five years.
- Compared with a year earlier, Cash & Equivalents has increased for three straight quarters, with growth averaging 206.7% over the last six quarters.
- The best year-over-year quarter for Cash & Equivalents over five years was Q4 2024 (growth of 587.7%); the worst was Q3 2022 (a decline of 69.8%).
- Per Business Quant data, RJET's Cash & Equivalents in the three quarters before Q2 2026 was $111.3 million (Q1 2026), $134.3 million (Q4 2025) and $38.73 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 165.28 Bn | 159.81 Bn | - | 1.61 Bn |
| 2 | Csx | 87.86 Bn | 84.08 Bn | - | 1.01 Bn |
| 3 | Canadian Pacific Kansas City | 75.56 Bn | 75.27 Bn | - | 264.59 Mn |
| 4 | Norfolk Southern | 71.27 Bn | 65.91 Bn | - | 1.07 Bn |
| 5 | United Parcel Service | 69.70 Bn | 46.62 Bn | - | 4.65 Bn |
| 6 | Fedex | 68.71 Bn | 34.65 Bn | - | 13.31 Bn |
| 7 | Delta Air Lines | 55.32 Bn | 37.50 Bn | - | 4.67 Bn |
| 8 | Old Dominion Freight Line | 37.44 Bn | 36.71 Bn | - | 283.94 Mn |
| 9 | United Airlines Holdings | 36.52 Bn | -19.85 Bn | - | 10.17 Bn |
| 10 | Republic Airways Holdings | 809.54 Mn | -76.69 Mn | - | 115.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 115.70 Mn |
| Mar 31, 2026 | 111.30 Mn |
| Dec 31, 2025 | 134.30 Mn |
| Sep 30, 2025 | 38.73 Mn |
| Jun 30, 2025 | 42.47 Mn |
| Mar 31, 2025 | 54.12 Mn |
| Dec 31, 2024 | 110.50 Mn |
| Sep 30, 2024 | 15.62 Mn |
| Jun 30, 2024 | 16.30 Mn |
| Mar 31, 2024 | 18.53 Mn |
| Dec 31, 2023 | 16.07 Mn |
| Sep 30, 2023 | 32.94 Mn |
| Jun 30, 2023 | 48.35 Mn |
| Mar 31, 2023 | 51.43 Mn |
| Dec 31, 2022 | 56.08 Mn |
| Sep 30, 2022 | 57.68 Mn |
| Jun 30, 2022 | 54.45 Mn |
| Mar 31, 2022 | 75.90 Mn |
| Dec 31, 2021 | 102.33 Mn |
| Sep 30, 2021 | 120.52 Mn |
Republic Airways Holdings Cash & Equivalents 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=cash-and-equivalents&ticker=RJET&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=RJET&period=max&api_key=YOUR_API_KEY");
const data = await res.json();