Corporacion America Airports (CAAP) Change in Accured Expenses (2018 - 2026)
Corporacion America Airports (CAAP) reported Change in Accured Expenses of $22.24 million for Q1 2026, down 3.5% from $23.05 million a year earlier.
Corporacion America Airports (CAAP) Change in Accured Expenses (2018 - 2026) Analysis & Trends
Over the twelve months ended Mar 31, 2026, Corporacion America Airports' Change in Accured Expenses came in at $98.11 million, down 40.5% year-over-year; for FY2019, it came in at $44.03 million.
- By year, Change in Accured Expenses came in at $67.19 million in FY2018.
- The Q1 2026 figure ranks as the lowest quarterly Change in Accured Expenses since Q2 2020.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 161.79 Bn | 156.31 Bn | - | 187.00 Mn |
| 2 | Csx | 86.21 Bn | 82.43 Bn | - | - |
| 3 | Canadian Pacific Kansas City | 74.26 Bn | 73.97 Bn | - | - |
| 4 | United Parcel Service | 70.36 Bn | 47.28 Bn | - | 147.00 Mn |
| 5 | Norfolk Southern | 69.74 Bn | 64.38 Bn | - | - |
| 6 | Fedex | 67.91 Bn | 33.85 Bn | - | 1.21 Bn |
| 7 | Delta Air Lines | 55.33 Bn | 37.51 Bn | - | - |
| 8 | Old Dominion Freight Line | 36.95 Bn | 36.21 Bn | - | - |
| 9 | United Airlines Holdings | 36.28 Bn | -20.09 Bn | - | - |
| 10 | Corporacion America Airports | 4.02 Bn | 1.73 Bn | 162.62 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 22.24 Mn |
| Mar 31, 2025 | 23.05 Mn |
| Mar 31, 2024 | 26.81 Mn |
| Mar 31, 2023 | 26.01 Mn |
| Mar 31, 2022 | 30.19 Mn |
| Sep 30, 2021 | 29.60 Mn |
| Jun 30, 2021 | 28.15 Mn |
| Mar 31, 2021 | 25.00 Mn |
| Sep 30, 2020 | 22.38 Mn |
| Jun 30, 2020 | 16.42 Mn |
| Mar 31, 2020 | 21.74 Mn |
| Mar 31, 2019 | 21.35 Mn |
| Mar 31, 2018 | 28.46 Mn |
Corporacion America Airports 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=CAAP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "CAAP", "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=CAAP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();