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8358

金居 Electronic Components As of 2026-06-17 Updated daily after market close

strong quality, premium valuation.

This page refreshes daily after the close. Add 金居 to your watchlist to track signal changes on your next visit.
Valuation 12Quality 90Growth 81Momentum 99Chips 75

Is 金居 a buy? Fundamentals and valuation first

  • Top-tier profitability.Operating margin beats ~90% of the market. Latest quarterly ROE ≈ 6.6%.

  • Valuation is high.PE is in the 92th market percentile; within its own history, PE is around the 100th percentile.

  • Foreign investors are net buying.Foreign 20-day net flow ≈ 4.4% of volume (net buy).

  • Strong revenue growth.Latest monthly revenue YoY ≈ 41.4%, above the 20% growth threshold.

  • Signals are active now.On the latest data, signals such as Revenue YoY ≥ 20%, Foreign net buying 5 straight days are active — see the historical forward returns after each occurrence below.

Chip flow

Bullish +0.67
BearishNeutralBullish

Single-sided accumulation, concentration rising — bullish

  • Single-sided accumulation, concentration rising — bullish
  • 法銀巴黎 holds 6,775 lots
  • sellers have 9,223 lots left, ~255 sessions to clear

Window from 2026-01-17 · Price +131% · branches to 2026-06-17· TDCC to 2026-06-12

  • Largest holder 法銀巴黎 has accumulated 6,775 lots since the start (sold 0%), holding.
  • Main distributor 台灣摩根士丹利 peaked at 6,668 lots, has sold 39%, 4,071 left, ~73 sessions to clear at the recent pace.
  • TDCC big holders (absolute) >1000-lot holders +3.56pp, mid holders -17, retail +0.14pp — concentration shifting upward.
  • Foreign hedge-desk net short Net short -2,812 lots (inferred from branch profile, mostly hedging — not necessarily bearish, not case-confirmed).
Branch inventory reconstruction
Accumulating holders Branches that accumulated shares during the window and still hold positive inventory; they are the absorbing side.
Distributing sellers Branches that built inventory earlier and have been selling it down; the remaining number estimates what has not cleared.
Net-short desks Trading-desk branches with negative inventory or net selling, often hedge, offsetting, or short-term flow. It is not automatically a bearish view.
Accumulating
法銀巴黎美商高盛摩根大通新加坡商瑞銀美林兆豐證券
Distributing
台灣摩根士丹利元大證券永豐金證券凱基-台北國票-敦北法人華南永昌
Desks
own scale
國泰證券凱基-站前台新證券(牛牛牛)亞證券
Price Accumulating & Distributing share one scale (comparable); Desks is independent. Zero is the baseline
Branch details Unit: lots

Accumulating

  • 法銀巴黎 +6,775
    sold 0%
  • 美商高盛 +6,712
    sold 21%· still adding
  • 摩根大通 +6,428
    sold 0%· still adding
  • 新加坡商瑞銀 +5,577
    sold 25%
  • 美林 +5,422
    sold 10%
  • 兆豐證券 +1,617
    sold 17%

Distributing

  • 台灣摩根士丹利 4,071 left
    sold 39%· ~73 sessions to clear
  • 元大證券 3,899 left
    sold 37%· ~111 sessions to clear
  • 永豐金證券 675 left
    sold 82%· paused recently
  • 凱基-台北 990 left
    sold 66%· paused recently
  • 國票-敦北法人 586 left
    sold 67%· ~255 sessions to clear
  • 華南永昌 1,061 left
    sold 30%· paused recently

Desks

  • 國泰證券 -7,057
    unclassified
  • 凱基-站前 -5,237
    unclassified
  • 台新證券 -3,321
    unclassified
  • (牛牛牛)亞證券 -3,238
    unclassified
Still selling 9,223 lots ~255 sessions to bottom at most
Recent buy/sell force +4,634 absorbed / -1,655 sold buyers slightly ahead
Hedge-desk net short -172 lots potential cover-buying, not selling pressure
TDCC big holders · absolute-holding cross-check
>1000-lot holder share Retail (<400 lots) share Price (right axis)

Mixed direction: big-holder and retail changes are not aligned.

Describes chip flow, not investment advice. Branch data discloses only high-volume branches with ~1-day lag; TDCC is weekly. Inventory is a relative reconstruction from the window start, not absolute holdings.

Historical evidence

Signals active now

These signals are true on the latest data, with this stock's own historical forward-return stats after each occurrence.

Monthly revenue YoY ≥ 20% (from filing deadline)

Active · now 41.37%

Monthly revenue YoY ≥ 20%; event date is the first trading day after the filing deadline (no look-ahead).

70 historical occurrences (since 2010-09-27)
Average forward return after Monthly revenue YoY ≥ 20% (from filing deadline)。20-day: Win 48.3%, Sample 58, Median -0.1%, Excess +1.86%, Beat mkt rate 43.1%;60-day: Win 51.8%, Sample 56, Median +1.22%, Excess +8.28%, Beat mkt rate 46.4%;120-day: Win 41.5%, Sample 53, Median -4.2%, Excess +13.4%, Beat mkt rate 32.1%

120 days after: historical avg +21.74%

20-day +3.77%
60-day +13.48%
120-day +21.74%
20-day
60-day
120-day
Win
48.3%
51.8%
41.5%
Sample
58
56
53
Median
-0.1%
+1.22%
-4.2%
Excess
+1.86%
+8.28%
+13.4%
Beat mkt rate
43.1%
46.4%
32.1%

Over 53 occurrences, 120-day forward avg gained 21.74%, beat the market by 13.4 pts; win rate 41.5%.

Foreign net buying for 5 straight days

Active · now 9%

Foreign net flow (ex-dealer) positive for 5 straight days; event on day 5; repeats within 20 days counted once.

45 historical occurrences (since 2016-05-10)
Average forward return after Foreign net buying for 5 straight days。20-day: Win 60.5%, Sample 43, Median +2.47%, Excess +6.04%, Beat mkt rate 48.8%;60-day: Win 57.1%, Sample 42, Median +11.52%, Excess +9.92%, Beat mkt rate 52.4%;120-day: Win 70%, Sample 40, Median +20.48%, Excess +37.4%, Beat mkt rate 62.5%

120 days after: historical avg +47.4%

20-day +8.78%
60-day +15.99%
120-day +47.4%
20-day
60-day
120-day
Win
60.5%
57.1%
70%
Sample
43
42
40
Median
+2.47%
+11.52%
+20.48%
Excess
+6.04%
+9.92%
+37.4%
Beat mkt rate
48.8%
52.4%
62.5%

Over 40 occurrences, 120-day forward avg gained 47.4%, beat the market by 37.4 pts; win rate 70%.

Valuation regime and subsequent returns

Each day's PE is converted to its own-history percentile (as of that day), then we look at adjusted-close returns over the next 240 trading days by valuation regime.

PE percentile bandSample days240-day avg returnMedianWin rateAvg excess (vs index)
0-20 170+46% +53.3% 89.4% +29.2%
20-40 107+48.8% +33.6% 80.4% +29.8%
40-60 507+166.5% +15.7% 60.9% +144.6%
60-80 555+50.4% +44.3% 78.9% +24.4%
80-100 You are here442-2.7% -4.2% 34.4% -20.3%

Percentiles use an expanding own-history window (no look-ahead); forward return is 240 trading days on adjusted close. Sample days overlap; distribution is indicative only.

Current PE ≈ 122.84, at the 100.0th percentile of its own history (80-100 band).

Valuation × momentum historical grid

Every day in its own history is bucketed by valuation tercile (own-history PE) and 60-day momentum sign into six cells; we show adjusted-close returns over the next 120 trading days per cell.

Valuation
Momentum
Cheap (own-history bottom 1/3)
Mid
Expensive (own-history top 1/3)
60-day momentum up
-1.6%
Win rate 47.5% Excess -11.7%
40d
+37.6%
Win rate 63.8% Excess +29.8%
235d
Now
+20.4%
Win rate 55.9% Excess +5.2%
655d
60-day momentum down
+24.5%
Win rate 76.3% Excess +20.7%
194d
+55.1%
Win rate 47.7% Excess +49.9%
497d
+17%
Win rate 80.7% Excess -0.2%
280d

Currently in “Expensive (own-history top 1/3) × 60-day momentum up”: across 655 historical days, 120-day forward avg gained 20.4%, win rate 55.9%, beat the market by 5.2%.

Days = trading days in this bucket; returns use adjusted prices, ex-costs. 60-day momentum: direction of this stock's price over the past 60 trading days.

Does this signal hold up across the market

Over the past 242 months, on average ~404 stocks per month met “monthly revenue YoY ≥ 20%”; their adjusted-close return over the next 60 trading days averaged 6.94% (equal-weighted), beating the market by 2.37 points on average, and outperformed the TAIEX total-return index in 64.5% of months.

Each month, equal-weighted 60-day forward adjusted return of all signal-matching stocks, then averaged across months; excess vs the TAIEX total-return index.

Signals not active (historical stats for reference)

These are not occurring now; historical samples shown for comparison.

252-day price high (breakout)

Pending

Adjusted close makes a new 252-day high; repeats within 20 days counted once.

26 times historically; 60-day forward avg +28.71%, win rate 62.5%, beating the market by +21.58 pts on average.

What does 金居 do? Company profile

電子零組件業;電解銅箔/PCB上游材料 上櫃(櫃買中心 TPEx)

Overview

金居開發股份有限公司成立於1998年5月22日,總部位於台北市內湖區瑞光路392號18樓,工廠位於雲林縣斗六市科工八路56號;股票代號8358,2007年11月7日登錄興櫃,2010年9月27日上櫃,為營運公司普通股。公司英文名稱為Co-Tech Development Corporation。依公開資訊與公司官網,2026年6月17日前後最新揭露的經營團隊為董事長李思賢;第三方股市資料亦列董事長兼總經理為李思賢。公司113年度年報揭露114年2月28日流通在外普通股252,588,000股、核定股本300,000,000股;第三方資料換算實收資本額約新台幣25.26億元。113年度年報列114年2月28日員工307人,113年度員工315人。主要股東依113年7月15日年報資料包括宋恭源13,812,998股、5.47%;大松投資12,497,270股、4.95%;華榮電線電纜7,812,375股、3.09%;滙豐台灣受託保管摩根士丹利國際投資專戶4,836,637股、1.91%;詹其哲3,696,000股、1.46%;光隆實業3,000,000股、1.19%;國泰世華商業銀行2,600,000股、1.03%;大通託管梵加德新興市場基金2,445,000股、0.97%;滙豐台灣受託保管美林國際投資專戶2,138,000股、0.85%;大通託管JP摩根證券投資專戶2,063,373股、0.82%。公司沿革中,2023年取得進階反轉電解銅箔、銅箔基板、微粗糙電解銅箔等日本、美國、大陸發明專利與UL2809再生料含量驗證。

Business

金居主業為電子級電解銅箔,年報明確指出公司產製單一產品「電子級銅箔」,為印刷電路板業主要原料之一,供應銅箔基板(CCL)製造商與多層印刷電路板(PCB)廠。官網說明金居生產電解銅箔,提供銅箔基板、多層印刷電路板與高密度連接板電鍍相關關鍵材料。產品與技術包含Low Profile、反轉銅箔、Advanced RTF(RG系列)、HVLP3/HVLP4/HVLP5(VL/PF系列)、AI Server用HVLP4/HVLP5、5G軟板MPI/LCP用FL系列、一般軟板RV/FL、無線充電RC系列、車載與大電流散熱基板用210um厚銅箔,以及9um、12um、18um、35um、70um等厚度規格。應用端包括銅箔基板、PCB、HDI、軟板、伺服器、資料儲存器、交換器、路由器、5G基地台、微波通訊、衛星傳輸、汽車電子、ADAS、LED車燈模組、3C電子、家電、工業與醫療儀器。商業模式為採購回收銅線及金屬化學品,經銅線溶解、硫酸銅電解、生箔、表面處理、檢查、裁切包裝後銷售給CCL與PCB供應鏈;產品報價受銅價、加工費、規格與認證狀態影響,高階低粗糙度產品有較高附加價值。113年度合併銷貨淨額6,821,558仟元,113年年報揭露銷售區域以外銷為主,內銷約10-15%,外銷至中國、日本、韓國、東南亞、歐美合計約85-90%;公司穩定供應國內前三大銅箔基板廠及多層PCB廠,但依契約以代號揭露主要客戶,113年主要銷貨客戶D0304占16%、D0948占11%,其餘客戶占73%。2025年第三方財務資料顯示全年營收約78.80億元,毛利率約21.8%;公司官網營運資訊與Yahoo股市營收資料顯示2026年1月營收820,421仟元,年增45.92%,2026年2月營收850,914仟元,2026年5月營收941,901仟元,較2025年5月666,236仟元明顯成長。

Outlook 2025–2028

2025展望:公司113年度年報的2025營業計畫明確聚焦5G、AI、IoT、邊緣運算、AR/VR、自駕車、智慧家庭、資料中心與伺服器等高頻高速應用;公司自行開發先進式反轉銅箔,並持續開發低訊號傳輸損失、超低粗糙度與高抗撕裂強度銅箔,以對應高可靠度、低延遲大規模資料傳輸;同時已完成FCCL用銅箔及大功率充放電厚銅箔開發。2026展望:截至2026年6月17日,公開營收資料顯示2026年前段營收年增強勁,官網揭露5月營收941,901仟元,市場新聞並稱HVLP4供不應求、每股配息2元;較可信的成長動能來自AI伺服器、交換器、資料儲存與高階CCL材料升級,尤其224G高速傳輸對HVLP4/HVLP5、Low Dk/Df材料與低粗糙度銅箔需求提高。2027-2028展望屬推估:若AI伺服器平台由800G/1.6T交換器、224G SerDes與更高層數PCB持續升級,金居高階HVLP4/HVLP5及RG系列有機會拉高產品組合與毛利率;雲林科技工業區新廠擴建若按規劃放量,可能提供更多5G、AI相關產品產能。主要風險包括國際銅價波動牽動營收與成本、電價上漲、環保與用工限制、中國大陸銅箔產能擴張造成標準品供需失衡、ECFA早收清單關稅變動、美中科技戰與關稅衝突、通膨與終端需求循環、主要客戶認證導入速度不如預期,以及高階銅箔良率與量產穩定性風險。

Supply Chain

Upstream
  • K1786(年報代號,未揭露供應商名稱) 113年度主要供應商,進貨2,237,434仟元、占進貨淨額52%;公司依契約以代號揭露,無法確認是否台股掛牌。
  • K1822(年報代號,未揭露供應商名稱) 113年度主要供應商,進貨1,527,635仟元、占進貨淨額35%;公司依契約以代號揭露,無法確認是否台股掛牌。
  • 回收銅線供應商 主要原料為回收銅線,來源含國內、東南亞、東北亞、歐洲等地,年報稱供應量充足、生產來源不虞匱乏;未揭露具名供應商。
  • 金屬化學品與添加劑供應商 製程需硫酸銅溶液、硫酸、鍍銅、鍍鋅、鍍鉻及表面處理添加劑;年報未揭露具名供應商。
Downstream
  • 國內前三大銅箔基板廠 年報稱公司穩定供應國內前三大銅箔基板廠;因契約限制未揭露客戶名稱。
  • 多層印刷電路板廠 年報稱供應多層PCB廠,產品用於PCB外層線路、電鍍通孔、盲孔等;具名客戶以D0304、D0948等代號揭露。
  • 台光電子材料 2383 台股上市高階銅箔基板廠,屬金居產品的典型下游產業;未由金居年報直接點名為客戶,列為產業鏈推定關係。
  • 台燿科技 6274 台股上市銅箔基板材料廠,屬高頻高速CCL下游;未由金居年報直接點名為客戶,列為產業鏈推定關係。
  • 聯茂電子 6213 台股上市銅箔基板廠,屬金居電解銅箔的可能下游;未由金居年報直接點名為客戶,列為產業鏈推定關係。
  • AI伺服器、資料儲存器、網路交換器與路由器供應鏈 終端應用端;金居年報稱雲端產品、伺服器、資料儲存器、網路交換器等需求帶動高頻高速材料放量。

Competitors

  • 南亞塑膠 1303 台股上市公司,產品線含電子材料與銅箔/銅箔基板相關材料,為台灣電解銅箔與CCL供應鏈競爭者之一。
  • 榮科材料 4989 台股上櫃公司,從事電解銅箔材料,為國內電解銅箔同業。
  • 長春石化 台灣未上市化工與電子材料集團,市場資料列為銅箔競爭者;非台股上市櫃。
  • 台灣銅箔 台灣電解銅箔同業,未確認為台股上市櫃公司。
  • 台日古河銅箔 台灣/日本技術背景銅箔同業,未確認為台股上市櫃公司。
  • Fukuda Metal Foil & Powder 日本銅箔與金屬粉末廠,非台股掛牌。
  • Furukawa Electric 日本上市公司古河電工,銅箔/電子材料相關競爭者,非台股掛牌。
  • JX Nippon Mining & Metals 日本ENEOS集團旗下材料公司,非台股掛牌。
  • Mitsui Kinzoku 日本上市材料公司三井金屬,銅箔競爭者,非台股掛牌。
  • Lotte Energy Materials(原ILJIN Materials) 韓國上市材料公司,銅箔競爭者,非台股掛牌。
  • 建滔集團 香港上市PCB/CCL與材料集團,銅箔與銅箔基板供應鏈競爭者,非台股掛牌。
Sources(16)

This company profile is compiled from public sources (annual reports, filings, news and analyst reports), not finlab backtest data; the 2025–2028 outlook contains forward-looking estimates and is for reference only.

Method and limitations

  • All returns use adjusted close (etl:adj_close), already adjusted for dividends and splits.
  • Excess return is measured against the TAIEX total-return index (dividends included).
  • Valuation regime and percentile stats use an expanding own-history window (no future data).
  • Revenue-signal event dates align to the first trading day after the filing deadline, avoiding look-ahead.
  • Event samples may overlap in time; stats describe historical distribution only and are less reliable when samples are few.

This page is historical statistics for educational purposes and is not investment advice. Investing involves risk; past performance does not indicate future results. Assess and bear the risk yourself before trading.