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Help me set up FinLab and analyze 2417 圓剛. Please read: https://finlab.finance/en/setup?stock=2417

2417

圓剛 Computer & Peripherals As of 2026-06-17 Updated daily after market close

steady quality, premium valuation, no active signal today.

This page refreshes daily after the close. Add 圓剛 to your watchlist to track signal changes on your next visit.
Valuation 26Quality 48Growth 39Momentum 72Chips 26

Is 圓剛 a buy? Fundamentals and valuation first

  • Above-average profitability.Operating margin is in the 48th market percentile. Latest quarterly ROE ≈ 1.7%.

  • Valuation is high.PE is in the 95th market percentile; within its own history, PE is around the 90th percentile.

  • Foreign investors are net selling.Foreign 20-day net flow ≈ -1.6% of volume (net sell).

Chip flow

Neutral +0.06
BearishNeutralBullish

Institutional rotation, concentration steady — neutral

  • Institutional rotation, concentration steady — neutral
  • 玉山-城中 holds 1,750 lots
  • sellers have 2,861 lots left, ~131 sessions to clear

Window from 2026-01-17 · Price +18% · branches to 2026-06-17· TDCC to 2026-06-12

  • Largest holder 玉山-城中 has accumulated 1,750 lots since the start (sold 0%), still adding.
  • Main distributor 新加坡商瑞銀 peaked at 1,658 lots, has sold 41%, 983 left, ~131 sessions to clear at the recent pace.
  • TDCC big holders (absolute) >1000-lot holders -0.23pp, mid holders +1, retail -0.33pp — little change.
  • Foreign hedge-desk net short Net short -26 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
玉山-城中元大-永春元大-高雄統一-城中致和-東門合庫-台南
Distributing
新加坡商瑞銀凱基-台北摩根大通港商野村美商高盛台灣摩根士丹利
Desks
own scale
兆豐-板橋康和-台中群益金鼎-屏東永豐金-天母
Price Accumulating & Distributing share one scale (comparable); Desks is independent. Zero is the baseline
Branch details Unit: lots

Accumulating

  • 玉山-城中 +1,750
    sold 0%· still adding
  • 元大-永春 +633
    sold 0%· still adding
  • 元大-高雄 +315
    sold 13%
  • 統一-城中 +298
    sold 0%· still adding
  • 致和-東門 +252
    sold 0%· still adding
  • 合庫-台南 +188
    sold 0%· still adding

Distributing

  • 新加坡商瑞銀 983 left
    sold 41%· ~131 sessions to clear
  • 凱基-台北 598 left
    sold 51%· ~16 sessions to clear
  • 摩根大通 288 left
    sold 66%· ~59 sessions to clear
  • 港商野村 177 left
    sold 78%· ~15 sessions to clear
  • 美商高盛 165 left
    sold 79%· paused recently
  • 台灣摩根士丹利 197 left
    sold 67%· paused recently

Desks

  • 兆豐-板橋 -3,543
    unclassified
  • 康和-台中 -309
    unclassified
  • 群益金鼎-屏東 -175
    unclassified
  • 永豐金-天母 -171
    unclassified
Still selling 2,861 lots ~131 sessions to bottom at most
Recent buy/sell force +1,694 absorbed / -1,188 sold buyers slightly ahead
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

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)
0-20 134-30.9% -43.9% 8.2% -29.1%
20-40 22Insufficient data
40-60 141+9.8% +38.1% 52.5% -19.7%
60-80 142+31.3% +30.3% 56.3% -36.4%
80-100 You are here228+343.9% +376.7% 97.4% +306.4%

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 ≈ 180.77, at the 90.4th 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
Insufficient data
(24d)
-20.8%
Win rate 1.1% Excess -28.2%
92d
Now
+133.6%
Win rate 76.7% Excess +91%
253d
60-day momentum down
-23.7%
Win rate 14.2% Excess -27%
113d
-20.1%
Win rate 0% Excess -26.2%
117d
+119.6%
Win rate 81.9% Excess +103.7%
188d

Currently in “Expensive (own-history top 1/3) × 60-day momentum up”: across 253 historical days, 120-day forward avg gained 133.6%, win rate 76.7%, beat the market by 91%.

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.

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.

19 times historically; 60-day forward avg +8.88%, win rate 44.4%, beating the market by +6.32 pts on average.

Monthly revenue YoY ≥ 20% (from filing deadline)

Pending

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

73 times historically; 60-day forward avg +13.67%, win rate 52.5%, beating the market by +9.45 pts on average.

Foreign net buying for 5 straight days

Pending

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

67 times historically; 60-day forward avg +9.11%, win rate 42.4%, beating the market by +3.35 pts on average.

What does 圓剛 do? Company profile

電腦及週邊設備業 台灣證券交易所上市

Overview

2417 對應圓剛科技股份有限公司,為台灣證券交易所上市普通股,英文簡稱 AVERMEDIA。公司成立於 1990/01/17,總部位於新北市中和區建一路 135 號,主要業務為電腦系統設備及多媒體相關產品之研發與銷售。上市日期為 2000/09/11;公開資料顯示 2026 年附近實收資本額約新台幣 15.72 億元、已發行普通股約 1.57 億股。董事長與總經理為郭重松;年報並揭露董事長與總經理為同一人。2024 年年報揭露員工合計 207 人,近年員工數約 191 至 207 人。主要持股/治理相關股東包括圓展科技股份有限公司、松昱投資股份有限公司及郭重松等;公開資料顯示圓展科技、松昱投資為重要董事/法人持股來源,但不同資料時點的持股數與比例會變動,本文不將其視為固定不變數字。

Business

圓剛以 AVerMedia 自有品牌行銷全球百餘國,定位為影音與邊緣 AI 解決方案廠商。公司產品與服務主要分為消費及商業運用、產業運用兩大領域,年報與官網另可整理為三大應用:一、實況主與網紅直播,包含高品質影音擷取設備、遊戲實況擷取設備、網路攝影機、麥克風、直播控制與直播軟體;二、個人與小型會議視訊設備,包含網路攝影機、電話會議揚聲器、麥克風及通過 Zoom、Barco 等認證的視訊會議硬體;三、AI 邊緣運算解決方案,搭載 NVIDIA Jetson 模組開發嵌入式邊緣運算系統,整合影像擷取、鏡頭、AI 視覺辨識、遠端管理與軟硬體整合能力,應用於工廠、零售、醫療、車載、智慧城市、智慧製造、自主移動機器人、無人載具與公共安全等場景。2024 年公司合併營收為新台幣 32.71854 億元、毛利率 57%,歸屬母公司稅後淨損新台幣 5,133.1 萬元,每股虧損 0.39 元。公司 2024 年法說資料指出三大事業群包括消費運用解決方案、商業運用解決方案、AI 邊緣運算系統;消費運用約占全年貢獻 55% 至 57%,商業運用約 10% 至 15%,AI 邊緣運算約 30% 至 35%,其中 AI 邊緣運算年增約 25% 至 30%。公司商業模式同時包含自有品牌、全球通路銷售、專案型產業解決方案、ODM/策略夥伴訂單,以及面向系統整合商與加值型經銷商的客製化設計服務。年報揭露主要銷貨客戶與供應商以代號匿名呈現,2024 年最大單一銷貨客戶占銷貨淨額 8.68%,最大單一供應商占進貨淨額 7.65%,未見進銷貨過度集中。

Outlook 2025–2028

2025 至 2028 年核心展望可分為直播/創作者經濟與 Edge AI/Physical AI 雙主軸。2025 年公司年報規劃聚焦 AI 與 STREAMING 兩大核心技術,五大方向為:強化 AI 邊緣運算系統,專注智慧城市、工廠自動化及智慧零售,深化 NVIDIA 合作並尋求更多 AI 晶片策略夥伴;整合 AI 與直播技術,發展新一代直播解決方案並針對 Z 世代推出創新產品;推動 ESG、環保材料與供應鏈管理;鞏固亞洲市場並開拓歐美 AI 邊緣運算業務;提升 AI 邊緣運算營收比重並開發高附加價值產品。2026 年公司法說與 COMPUTEX 資訊顯示,圓剛正由傳統影音擷取設備廠商轉型為結合 AI 影音串流、Edge AI 與 Vision AI 的整合平台公司,透過「消費商業運用穩定獲利」與「產業運用 AI 高成長擴張」雙引擎建立成長動能;2026 年第一季合併營收新台幣 8.93 億元、毛利率 58%,前四月營收 12.24 億元、年增 18.5%。成長動能包括短影音、多平台直播、直播電商、專業製播、Nintendo Switch 2 與 USB-C 影音應用帶動擷取盒與周邊需求;產業端則受惠 AI 從雲端訓練走向真實世界部署,帶動機器人、AI 視覺辨識、智慧城市、自主移動機器人、無人機、智慧交通、智慧空間與公共安全等邊緣 AI 應用。公司 2026 年於 GTC 展示結合 NVIDIA Jetson Thor 的 3D 感知與即時 AI 推論能力,並於 COMPUTEX 2026 展示 MultiStudio Core GC750、直播電商與 Physical AI 現場落地應用。2027 至 2028 年的展望屬推估:若 Jetson Thor、Physical AI、智慧交通與機器人應用放量,圓剛有機會從硬體載板與擷取設備,逐步提高系統平台、軟硬整合、遠端維運、OTA 與方案服務占比,改善產品組合與毛利結構;但需觀察專案型收入波動、平台投資期毛利壓力、AI 晶片供應、國際競爭、消費電子需求循環、匯率、地緣政治、供應鏈去中國化與美歐需求波動等風險。公司年報亦指出關鍵晶片與高階元件供應限制、AI 技術門檻降低導致競爭加劇、直播串流技術快速迭代,均可能影響營運。

Supply Chain

Upstream
  • NVIDIA 美國上市公司;圓剛深化 NVIDIA Jetson 生態布局,使用 Jetson Orin、Jetson Thor 等平台開發 AI 邊緣運算、機器人感知、3D 感知與即時 AI 推論解決方案。
  • Stereolabs 非台股掛牌公司;圓剛 2025 年新聞揭露攜手視覺領導者 Stereolabs 打造 AI 多鏡頭視覺方案,屬 AI 視覺/感測合作夥伴。
  • 半導體與關鍵電子零組件供應商 年報未具名揭露;圓剛主要原料涉及半導體、電子元件、塑料、金屬及高階零組件,並強調分散供應商、供應商評鑑、RoHS/衝突礦產/綠色採購與供應鏈多元化。
  • 外包代工廠與 SMT/PCBA/組裝供應鏈 年報揭露公司無自有工廠但有產製流程與外包代工廠管理,要求代工廠遵守 RoHS、ISO 及相關品質環保規範;未公開具名代工廠。
Downstream
  • 內容創作者、實況主、直播電商與專業製播團隊 圓剛消費與商業直播產品的主要終端需求來源,使用擷取盒、直播軟體、多機位製播、麥克風、網路攝影機與 USB-C 影音周邊。
  • 系統整合商與加值型經銷商 圓剛年報明確提到針對 SI 與 VAR 提供 AI 邊緣運算、影像擷取、嵌入式電腦與客製化整合方案,協助導入智慧零售、智慧城市、智慧製造、機器人與工業自動化。
  • 企業、教育機構、政府與大型組織 下游應用包含視訊會議、線上教育、品牌活動、企業座談、政府與大型組織視訊設備採用;年報與公司新聞未逐一具名揭露主要客戶。
  • 智慧交通、智慧城市、智慧工廠、智慧零售、AMR/機器人與無人機客戶 AI 邊緣運算與 Physical AI 解決方案的主要產業應用端;2026 年公司強調智慧交通、機器人遠端操作、智慧空間、公共安全、無人載具與智慧場域。

Competitors

  • 研華股份有限公司 2395 台股上市公司;年報在邊緣運算競爭情勢中列為積極布局者,與圓剛在工業電腦、邊緣 AI、智慧製造與系統平台市場有競爭或競合關係。
  • 研揚科技股份有限公司 6579 台股上市公司;年報在邊緣運算競爭情勢中列為競爭廠商,主要競爭面向為嵌入式電腦、AI 邊緣運算與工業應用平台。
  • 凌華科技股份有限公司 6166 台股上市公司;年報在邊緣運算競爭情勢中列為競爭廠商,主要競爭面向為工業電腦、邊緣運算與自動化/機器視覺應用。
  • 圓展科技股份有限公司 3669 台股上市公司;為圓剛重要法人股東與關係企業,但在視訊會議、教育科技、攝影機與企業通訊設備等領域與圓剛部分產品存在市場重疊,應視為關係企業兼部分競合者。
  • Logitech International S.A. 非台股掛牌,瑞士/美國上市;公司年報提及羅技收購 Streamlabs 作為消費商業應用市場軟硬整合競爭案例,與圓剛在網路攝影機、直播周邊與創作者生態競爭。
  • Elgato / Corsair Gaming, Inc. 非台股掛牌;Corsair 為美國上市公司,Elgato 是其創作者直播硬體品牌,與圓剛在擷取卡、直播控制、麥克風、創作者設備市場競爭。
Sources(10)

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.