Asia Pacific Wire & Cable (APWC) Exchange Rate Effect (2009 - 2026)
Asia Pacific Wire & Cable's Exchange Rate Effect was -$17,000 in the quarter ended Jun 30, 2026, compared with $1.51 million a year earlier.
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Analysis
Asia Pacific Wire & Cable (APWC) Exchange Rate Effect (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Asia Pacific Wire & Cable's Exchange Rate Effect was -$855,000 through Jun 30, 2026; for the year ended Dec 31, 2025, it came in at $2.08 million.
- Exchange Rate Effect shows a five-year compound annual growth rate of 37.5% (years ended Dec 2020 to Dec 2025).
- In earlier years, Exchange Rate Effect was -$604,000 in the year ended Dec 31, 2024, $408,000 in the year ended Dec 31, 2023, -$2.04 million in the year ended Dec 31, 2022 and -$4.37 million in the year ended Dec 31, 2021.
- Quarterly Exchange Rate Effect has moved between -$2.21 million (the quarter ended Mar 31, 2024) and $3.05 million (the quarter ended Sep 30, 2024) over five years.
- Per Business Quant data, APWC's Exchange Rate Effect in the three quarters before the quarter ended Jun 30, 2026 was -$1.17 million (quarter ended Mar 31, 2026), $357,000 (quarter ended Dec 31, 2025) and -$25,000 (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 324.58 Bn | 296.27 Bn | 7.76 Bn | 20.00 Mn |
| 2 | Amphenol | 179.59 Bn | 174.17 Bn | 3.55 Bn | 30.10 Mn |
| 3 | Deere | 173.82 Bn | 141.91 Bn | 4.66 Bn | -74.00 Mn |
| 4 | Eaton | 143.34 Bn | 140.52 Bn | 2.86 Bn | -1.00 Mn |
| 5 | Parker-Hannifin | 112.68 Bn | 110.80 Bn | 2.25 Bn | 4.00 Mn |
| 6 | 3M | 91.08 Bn | 72.52 Bn | 2.78 Bn | - |
| 7 | Emerson Electric | 89.36 Bn | 82.10 Bn | 2.66 Bn | -12.00 Mn |
| 8 | Illinois Tool Works | 79.89 Bn | 76.44 Bn | 1.90 Bn | 6.00 Mn |
| 9 | Vertiv Holdings | 75.22 Bn | 65.84 Bn | 1.23 Bn | 3.50 Mn |
| 10 | Asia Pacific Wire & Cable | 26.18 Mn | -128.63 Mn | 11.01 Mn | -17,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -17,000.00 |
| Mar 31, 2026 | -1.17 Mn |
| Dec 31, 2025 | 357,000.00 |
| Sep 30, 2025 | -25,000.00 |
| Jun 30, 2025 | 1.51 Mn |
| Mar 31, 2025 | 241,000.00 |
| Dec 31, 2024 | -1.81 Mn |
| Sep 30, 2024 | 3.05 Mn |
| Jun 30, 2024 | 363,000.00 |
| Mar 31, 2024 | -2.21 Mn |
| Jun 30, 2019 | 1.24 Mn |
| Mar 31, 2019 | 742,000.00 |
| Dec 31, 2018 | -313,000.00 |
| Sep 30, 2018 | 1.05 Mn |
| Jun 30, 2018 | -4.77 Mn |
| Mar 31, 2018 | 2.46 Mn |
| Dec 31, 2017 | 614,000.00 |
| Sep 30, 2017 | 550,000.00 |
| Jun 30, 2017 | 432,000.00 |
| Mar 31, 2017 | 2.26 Mn |
API Access
Asia Pacific Wire & Cable 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=APWC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "APWC", "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=APWC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();