Enerflex (EFXT) Exchange Rate Effect (2023 - 2026)
Enerflex (EFXT) reported Exchange Rate Effect of -$1 million for the quarter ended Jun 30, 2026.
Enerflex (EFXT) Exchange Rate Effect (2023 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Enerflex's Exchange Rate Effect came in at -$2.42 million; for the year ended Dec 31, 2025, it was -$3 million.
- By year, Exchange Rate Effect came in at -$5 million in the year ended Dec 31, 2024, -$30 million in the year ended Dec 31, 2023, $4.73 million in the year ended Dec 31, 2022 and -$1.43 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 ranks as the lowest quarterly Exchange Rate Effect since the quarter ended Jun 30, 2024.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 75.47 Bn | 71.40 Bn | 1.40 Bn | -8.00 Mn |
| 2 | Baker Hughes | 54.73 Bn | 17.83 Bn | 1.58 Bn | 18.00 Mn |
| 3 | Halliburton | 28.50 Bn | 20.22 Bn | 804.00 Mn | -14.00 Mn |
| 4 | TechnipFMC | 27.23 Bn | 23.37 Bn | 684.70 Mn | -1.20 Mn |
| 5 | Noble | 7.02 Bn | 4.95 Bn | 239.27 Mn | - |
| 6 | Nov | 6.87 Bn | 1.60 Bn | 521.00 Mn | 3.00 Mn |
| 7 | Transocean | 6.68 Bn | 4.39 Bn | 358.00 Mn | - |
| 8 | Valaris | 6.33 Bn | 3.95 Bn | 123.70 Mn | - |
| 9 | Weatherford International | 5.97 Bn | 1.91 Bn | 333.00 Mn | 3.00 Mn |
| 10 | Enerflex | 3.00 Bn | 2.69 Bn | 139.00 Mn | -1.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1.00 Mn |
| Jun 30, 2024 | -1.46 Mn |
| Mar 31, 2024 | -742,113.21 |
| Dec 31, 2023 | -27.63 Mn |
| Sep 30, 2023 | -728,000.00 |
| Jun 30, 2023 | -5.22 Mn |
| Mar 31, 2023 | -1.32 Mn |
Enerflex 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=EFXT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "EFXT", "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=EFXT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();