Corporacion America Airports (CAAP) Cash & Equivalents (2014 - 2026)
Corporacion America Airports (CAAP) reported Cash & Equivalents of $692.48 million for Q2 2026, down 99.6% from $192.62 billion a year earlier but up 3.9% from the prior quarter.
Corporacion America Airports (CAAP) Cash & Equivalents (2014 - 2026) Analysis & Trends
At the end of FY2025, Corporacion America Airports posted Cash & Equivalents of $592.76 million, up 34.8% from FY2024.
- Cash & Equivalents has a five-year compound annual growth rate of 16.1% (FY2020 to FY2025).
- By year, Cash & Equivalents came in at $439.85 million in FY2024 (+18.9%), $369.85 million in FY2023 (-4.0%), $385.27 million in FY2022 (+2.5%) and $375.78 million in FY2021 (+33.7%).
- Five-year quarterly Cash & Equivalents spans a low of $218.05 million in Q3 2021 and a high of $192.62 billion in Q2 2025.
- Year over year, Cash & Equivalents gained in four of the last seven quarters, with an average decline of 15.3%.
- The high point for year-over-year Cash & Equivalents in five years was Q1 2023 (growth of 238.9%); the low point was Q2 2026 (a decline of 99.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $666.23 million (Q1 2026), $592.76 million (Q4 2025) and $540.39 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 177.43 Bn | 171.95 Bn | - | 1.61 Bn |
| 2 | Csx | 95.92 Bn | 91.14 Bn | - | 1.22 Bn |
| 3 | United Parcel Service | 85.95 Bn | 62.85 Bn | - | 4.65 Bn |
| 4 | Canadian Pacific Kansas City | 80.52 Bn | 79.54 Bn | - | 257.58 Mn |
| 5 | Norfolk Southern | 75.79 Bn | 70.43 Bn | - | 1.07 Bn |
| 6 | Fedex | 71.86 Bn | 37.80 Bn | - | 13.31 Bn |
| 7 | Delta Air Lines | 51.80 Bn | 33.98 Bn | - | 3.79 Bn |
| 8 | Old Dominion Freight Line | 39.47 Bn | 38.73 Bn | - | 283.94 Mn |
| 9 | United Airlines Holdings | 33.07 Bn | -24.62 Bn | - | 6.65 Bn |
| 10 | Corporacion America Airports | 4.02 Bn | 1.40 Bn | 162.62 Mn | 692.48 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 692.48 Mn |
| Mar 31, 2026 | 666.23 Mn |
| Dec 31, 2025 | 592.76 Mn |
| Sep 30, 2025 | 540.39 Mn |
| Jun 30, 2025 | 496.81 Mn |
| Mar 31, 2025 | 448.62 Mn |
| Dec 31, 2024 | 439.85 Mn |
| Sep 30, 2024 | 510.89 Mn |
| Jun 30, 2024 | 439.41 Mn |
| Mar 31, 2024 | 469.84 Mn |
| Dec 31, 2023 | 369.85 Mn |
| Sep 30, 2023 | 468.94 Mn |
| Jun 30, 2023 | 448.50 Mn |
| Mar 31, 2023 | 401.09 Mn |
| Dec 31, 2022 | 385.27 Mn |
| Sep 30, 2022 | 348.35 Mn |
| Jun 30, 2022 | 334.92 Mn |
| Mar 31, 2022 | 30.70 Bn |
| Dec 31, 2021 | 375.78 Mn |
| Sep 30, 2021 | 218.05 Mn |
Corporacion America Airports 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=CAAP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=CAAP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();