Controladora Vuela Compania de Aviacion, S.A.B. de C.V (VLRS) Change in Accured Expenses (2019 - 2020)
Controladora Vuela Compania de Aviacion, S.A.B. de C.V (VLRS) reported Change in Accured Expenses of $40.87 million for the year ended Dec 31, 2025, down 27.9% from $56.66 million a year earlier.
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Analysis
Controladora Vuela Compania de Aviacion, S.A.B. de C.V (VLRS) Change in Accured Expenses (2019 - 2020) Analysis & Trends
Dating back to the year ended Dec 31, 2011, Controladora Vuela Compania de Aviacion, S.A.B. de C.V's Change in Accured Expenses record includes 15 years.
- Five-year annual Change in Accured Expenses spans a low of -$24.93 million in the year ended Dec 31, 2023 and a high of $56.66 million in the year ended Dec 31, 2024.
- According to Business Quant data, Change in Accured Expenses came in at $56.66 million in the year ended Dec 31, 2024, -$24.93 million in the year ended Dec 31, 2023, $17.2 million in the year ended Dec 31, 2022 (-61.8%) and $45.05 million in the year ended Dec 31, 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 170.80 Bn | 165.33 Bn | - | 187.00 Mn |
| 2 | Csx | 89.17 Bn | 85.38 Bn | - | - |
| 3 | United Parcel Service | 83.81 Bn | 60.70 Bn | - | 147.00 Mn |
| 4 | Canadian Pacific Kansas City | 77.31 Bn | 76.33 Bn | - | - |
| 5 | Norfolk Southern | 73.23 Bn | 67.87 Bn | - | - |
| 6 | Fedex | 70.82 Bn | 36.77 Bn | - | 1.21 Bn |
| 7 | Delta Air Lines | 50.27 Bn | 32.46 Bn | - | - |
| 8 | Old Dominion Freight Line | 39.09 Bn | 38.36 Bn | - | - |
| 9 | United Airlines Holdings | 31.83 Bn | -24.55 Bn | - | - |
| 10 | Controladora Vuela Compania de Aviacion, S.A.B. de C.V | 648.73 Mn | -2.51 Bn | - | - |
API Access
Controladora Vuela Compania de Aviacion, S.A.B. de C.V Change in Accured Expenses 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=change-in-accured-expenses&ticker=VLRS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "VLRS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=change-in-accured-expenses&ticker=VLRS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();