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Help me set up FinLab and analyze 1906 寶隆. Please read: https://finlab.finance/en/setup?stock=1906

1906

寶隆 Paper As of 2026-06-17 Updated daily after market close

quality needs a look, premium valuation, no active signal today.

This page refreshes daily after the close. Add 寶隆 to your watchlist to track signal changes on your next visit.
Valuation 37Quality 28Growth 40Momentum 35Chips 36

Is 寶隆 a buy? Fundamentals and valuation first

  • Weak profitability.Operating margin is in the 34th market percentile. Latest quarterly ROE ≈ -0.1%.

  • Valuation is high.PE is in the 99th market percentile; within its own history, PE is around the 99th percentile.

  • Foreign investors are net selling.Foreign 20-day net flow ≈ -0.5% of volume (net sell).

Chip flow

Neutral +0.13
BearishNeutralBullish

Institutional rotation, concentration steady — neutral

  • Institutional rotation, concentration steady — neutral
  • 國泰-敦南 holds 226 lots
  • sellers have 306 lots left, ~87 sessions to clear

Window from 2026-01-17 · Price -6% · branches to 2026-06-17· TDCC to 2026-06-12

  • Largest holder 國泰-敦南 has accumulated 226 lots since the start (sold 2%), still adding.
  • Main distributor 台新-台中 peaked at 407 lots, has sold 84%, 66 left, ~2 sessions to clear at the recent pace.
  • TDCC big holders (absolute) >1000-lot holders +0.32pp, mid holders -2, retail +0.47pp — concentration shifting upward.
  • Foreign hedge-desk net short Net short -95 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
國泰-敦南華南永昌-南京富邦-新竹凱基-頭份國泰-台中合庫證券
Distributing
台新-台中富邦-樹林元大-新竹國票-北投凱基-高美館元大-沙鹿
Desks
own scale
兆豐-埔墘美林永興兆豐-城中
Price Accumulating & Distributing share one scale (comparable); Desks is independent. Zero is the baseline
Branch details Unit: lots

Accumulating

  • 國泰-敦南 +226
    sold 2%· still adding
  • 華南永昌-南京 +167
    sold 0%
  • 富邦-新竹 +136
    sold 1%
  • 凱基-頭份 +128
    sold 0%· still adding
  • 國泰-台中 +107
    sold 0%· still adding
  • 合庫證券 +104
    sold 0%· still adding

Distributing

  • 台新-台中 66 left
    sold 84%· ~2 sessions to clear
  • 富邦-樹林 105 left
    sold 48%· paused recently
  • 元大-新竹 114 left
    sold 30%· ~23 sessions to clear
  • 國票-北投 48 left
    sold 51%· paused recently
  • 凱基-高美館 65 left
    sold 32%· paused recently
  • 元大-沙鹿 10 left
    sold 87%· ~2 sessions to clear

Desks

  • 兆豐-埔墘 -350
    unclassified
  • 美林 -287
    hedge desk · will cover
  • 永興 -207
    unclassified
  • 兆豐-城中 -193
    unclassified
Still selling 306 lots ~87 sessions to bottom at most
Recent buy/sell force +1,015 absorbed / -531 sold buyers slightly ahead
Hedge-desk net short -12 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

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)
0-20 883-14.3% -20.4% 13.5% -22.7%
20-40 482+54.5% +13.6% 61.8% +33.4%
40-60 409+55.8% +56.2% 64.5% +37.4%
60-80 241+21.8% +16.9% 62.7% +3.6%
80-100 You are here396+1.9% -2.4% 40.9% -26.5%

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 ≈ 1130.0, at the 99.1th 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
+13.7%
Win rate 33.4% Excess +7.2%
455d
+17%
Win rate 51% Excess +12.3%
414d
+16.8%
Win rate 75.1% Excess +0.4%
329d
60-day momentum down
-9.3%
Win rate 24.2% Excess -14.7%
689d
+6.6%
Win rate 52.6% Excess +3.6%
348d
Now
-6.5%
Win rate 34.5% Excess -31.8%
296d

Currently in “Expensive (own-history top 1/3) × 60-day momentum down”: across 296 historical days, 120-day forward avg declined 6.5%, win rate 34.5%, lagged the market by 31.8%.

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.

26 times historically; 60-day forward avg +3.44%, win rate 56%, beating the market by +1.03 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).

80 times historically; 60-day forward avg +1.84%, win rate 44.7%, beating the market by +0.15 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.

52 times historically; 60-day forward avg +1.34%, win rate 45.1%, beating the market by -2.4 pts on average.

What does 寶隆 do? Company profile

造紙工業 台灣證券交易所上市

Overview

寶隆國際股份有限公司,前身為寶隆紙業股份有限公司,成立於1965年5月20日,1976年4月26日於台灣證券交易所掛牌上市,證券代號1906,為上市普通股。公司登記地址為雲林縣斗六市十三北路25號,總機為02-5581-1777。依台灣證券交易所OpenAPI截至115/06/16資料,董事長為李殷佳,總經理為田哲森,發言人為鍾育廷,實收資本額新台幣1,510,000,000元,已發行普通股151,000,000股,無特別股與私募股,簽證會計師事務所為立本台灣聯合會計師事務所。公司官網揭露2024年營業額為新台幣3,211,527仟元、股本1,510,000仟元、股數151,000仟股。主要股東與董事席次高度連結榮成紙業股份有限公司;2025年董事改選公告顯示榮成紙業持有39,180,636股,約占普通股25.95%,並由李殷佳、陳媛凱代表榮成出任法人董事。員工規模未在已查得官方公司基本資料中明確揭露,第三方Google財經頁面顯示員工約20人,未以年報核實。

Business

寶隆目前是工業用紙經銷代理商,主要業務為紙類之批發零售及國內外採購運銷,核心商品包括箱板紙、裱面紙板、瓦楞原紙、瓦楞芯紙、牛皮紙板等包裝用工業紙。公司官網與MoneyDJ資料均指出,寶隆主要經營工業用紙之經銷代理,2024年產品營收比重為工業用紙代銷100%。其商業模式不是自有大型造紙生產,而是向供應商購入或代理工業用紙成品後,銷售至紙器、包裝、物流與製造業用紙客戶;每年銷售量依與供應商簽訂之經銷合約而定。公司歷史沿革顯示1996年由寶隆紙業轉型多元化經營,1998年斗六廠由榮成紙業得標,2003年起多次與榮成紙業簽訂工業用紙銷售合約,2024年12月與榮成簽訂每年約20萬噸的工業用紙銷售合約。主要銷售市場依2025年法說會報導,外銷主要市場為東南亞及中國大陸,並會依整體經濟環境與發展需求調整銷售區域。2025年全年自結營收約新台幣3,111,558仟元、EPS約0.01元;2026年5月單月合併營收224,804仟元、年增3.25%,2026年1至5月累計營收1,294,513仟元、年減3.15%。

Outlook 2025–2028

2025年公司面臨營收與獲利壓力,上半年營收15.99億元、年減7.1%,營業利益約2,200萬元,但受匯兌損失影響稅後淨損約5,800萬元;2025年7月又因颱風影響前端生產而使出貨波動。不過,公司在2025年法說會表示,客戶端庫存逐步下降、旺季用紙需求提升,有助營收逐月改善,且外銷動能較2024年下半年已有成長,主要市場仍為東南亞及中國大陸。2026年展望以公司與媒體揭露來看,寶隆仍聚焦代理榮成工業用紙外銷,方向為優化產品組合、強化客戶服務、開拓業務往來客戶與銷售通路;媒體引述法人看法稱外銷動能與工紙需求有撐,2026年營收有挑戰逾45億元的機會,但此屬外部法人或媒體說法,非已查得的公司正式財測。2027至2028年未查得公司正式量化指引,較合理的研究情境是:若東南亞與中國包裝紙需求復甦、庫存循環正常化、榮成供貨量與外銷通路擴張延續,寶隆營收可望受益;若原物料與海運成本、匯率、外銷價格競爭、需求循環、紙業產能過剩或中國需求偏弱,則毛利率與獲利仍易波動。另一個中長期變數是資產活化:公司2025年說明雲林工業與住宅用地已有潛在買方洽詢,四筆工業土地約1,600坪、六筆住宅用地約8,500坪,仍屬初步洽談;若後續出售,可能帶來一次性處分利益與資產效率提升,但不屬本業經常性獲利。整體而言,2025至2028的核心觀察指標應為工業用紙外銷量、與榮成供貨合約量、毛利率、匯兌損益、應收帳款與資產活化進度。

Supply Chain

Upstream
  • 榮成紙業股份有限公司 1909 上市造紙公司;寶隆主要供應商與大股東。寶隆主要購入或代理榮成工業用紙成品銷售,2024年12月雙方簽訂每年約20萬噸工業用紙銷售合約。
Downstream
  • 東南亞紙器與包裝客戶 非單一揭露公司名稱;2025年法說會報導指出寶隆外銷主要市場包括東南亞,終端應用多為瓦楞紙箱、紙器與工業包裝。
  • 中國大陸紙器與包裝客戶 非台股掛牌且未揭露具名客戶;2025年法說會報導指出中國大陸為主要外銷市場之一。
  • 台灣及海外製造業包裝用紙客戶 未揭露具名客戶;推估為紙器廠、包裝轉換廠、物流與製造業包裝需求端,使用箱板紙、瓦楞原紙等工業用紙。

Competitors

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.