Asia Pacific Wire & Cable (APWC) Return on Sales [ROS] (2009 - 2026)
Asia Pacific Wire & Cable (APWC) posted Return on Sales [ROS] of 2.49% for the quarter ended Jun 30, 2026, up 0.54 percentage points from 1.96% a year earlier but down 0.01 percentage points from the prior quarter.
Asia Pacific Wire & Cable (APWC) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Asia Pacific Wire & Cable was 2.51%, up 0.76 percentage points year-over-year; for the year ended Dec 31, 2025, it came in at 1.30%, down 0.82 percentage points from the prior year.
- Annual Return on Sales [ROS] shows a five-year change of -1.11 percentage points (years ended Dec 2020 to Dec 2025).
- In prior years, Asia Pacific Wire & Cable's Return on Sales [ROS] was 2.12% in the year ended Dec 31, 2024 (+1.75 pp), 0.36% in the year ended Dec 31, 2023 (-1.50 pp), 1.86% in the year ended Dec 31, 2022 (+2.90 pp) and -1.04% in the year ended Dec 31, 2021 (-3.45 pp).
- Quarterly Return on Sales [ROS] has run from a low of -2.72% in the quarter ended Mar 31, 2025 to a high of 4.06% in the quarter ended Dec 31, 2024 over five years.
- On a year-over-year basis, Return on Sales [ROS] increased in four of the last six quarters, with an average year-over-year change of +0.34 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 2.50% (quarter ended Mar 31, 2026), 2.12% (quarter ended Dec 31, 2025) and 2.96% (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn | 20.38% |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | 29.53% |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | 14.72% |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn | 17.76% |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn | 19.96% |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn | 23.66% |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn | 25.88% |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn | 27.79% |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn | 22.81% |
| 10 | Asia Pacific Wire & Cable | 24.33 Mn | -130.49 Mn | 11.01 Mn | 2.49% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.49% |
| Mar 31, 2026 | 2.50% |
| Dec 31, 2025 | 2.12% |
| Sep 30, 2025 | 2.96% |
| Jun 30, 2025 | 1.96% |
| Mar 31, 2025 | -2.72% |
| Dec 31, 2024 | 4.06% |
| Sep 30, 2024 | 2.65% |
| Jun 30, 2024 | -0.76% |
| Mar 31, 2024 | 2.10% |
| Jun 30, 2019 | -4.16% |
| Mar 31, 2019 | -0.23% |
| Dec 31, 2018 | 0.31% |
| Sep 30, 2018 | 1.56% |
| Jun 30, 2018 | 4.50% |
| Mar 31, 2018 | 1.66% |
| Dec 31, 2017 | 4.62% |
| Sep 30, 2017 | 2.84% |
| Jun 30, 2017 | 1.17% |
| Mar 31, 2017 | 6.96% |
Asia Pacific Wire & Cable Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=APWC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=APWC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();