Southeast Airport (ASR) Exchange Rate Effect (2013 - 2025)
Southeast Airport (ASR) recorded Exchange Rate Effect of -$97.03 million in the quarter ended Dec 31, 2025, compared with $140.56 million a year earlier.
Southeast Airport (ASR) Exchange Rate Effect (2013 - 2025) Analysis & Trends
For the year ended Dec 31, 2025, Southeast Airport reported Exchange Rate Effect of -$92.65 million.
- Across earlier years, Exchange Rate Effect came in at $154.85 million in the year ended Dec 31, 2024.
- The figure for the quarter ended Dec 31, 2025 is the lowest quarterly Exchange Rate Effect in data going back to the quarter ended Dec 31, 2013.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - | - |
| 2 | Csx | 86.16 Bn | 82.37 Bn | - | - |
| 3 | Canadian Pacific Kansas City | 74.78 Bn | 74.50 Bn | - | 17.35 Mn |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - | -13.00 Mn |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - | - |
| 6 | Fedex | 67.46 Bn | 33.40 Bn | - | -39.00 Mn |
| 7 | Delta Air Lines | 54.88 Bn | 37.06 Bn | - | - |
| 8 | Old Dominion Freight Line | 36.07 Bn | 35.33 Bn | - | - |
| 9 | Ryanair Holdings | 28.71 Bn | 12.72 Bn | 3.13 Bn | -2.79 Mn |
| 10 | Southeast Airport | 6.53 Bn | 3.38 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -97.03 Mn |
| Dec 31, 2024 | 140.56 Mn |
| Sep 30, 2024 | 54.29 Mn |
| Jun 30, 2024 | 61.01 Mn |
| Mar 31, 2024 | -15.98 Mn |
| Sep 30, 2023 | 10.66 Mn |
| Jun 30, 2023 | -18.74 Mn |
| Mar 31, 2023 | -38.92 Mn |
| Sep 30, 2022 | -4.01 Mn |
| Jun 30, 2022 | -3.12 Mn |
| Sep 30, 2021 | 1.61 Mn |
| Jun 30, 2021 | -1.87 Mn |
| Sep 30, 2020 | -3.58 Mn |
| Dec 31, 2019 | -30.57 Mn |
| Dec 31, 2017 | 5.05 Mn |
| Dec 31, 2016 | 36.33 Mn |
| Dec 31, 2013 | -784,904.48 |
Southeast Airport Exchange Rate Effect 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=exchange-rate-effect&ticker=ASR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "ASR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=exchange-rate-effect&ticker=ASR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();