Builds computerized industrial sewing machines that automatically adjust stitching to handle any fabric, from silk to denim, without operator retuning.
At a glance
Depends onDownstream position: depends on 12 industries, supplies 4
ScaleMarket cap is above the global median
FinancialsAltman Z-Score: safe zone
Interpretations2 currently firing — 1 · 1
What this company is and how it runs — written from structure, not news.
Nature view
Jack Technology builds computerized industrial sewing machines whose onboard software reads fabric thickness in real time and adjusts needle speed and thread tension automatically, so a garment factory in Vietnam can switch from silk to denim between orders without stopping to retune the line. That software is produced by an engineering team in Taizhou that physically tests every algorithm iteration against hundreds of fabric and thread combinations by hand, because the sensor response curves are non-linear and cannot be modelled on a computer alone — which compresses new model releases to one every eighteen months no matter how fast demand grows. Once a factory installs the machines, its production software is wired to them through proprietary data protocols, and its operators are trained on a control interface that does not transfer to any competitor's machine, so the cost of switching rises with every order run through the line. The whole business depends on the Taizhou team staying intact: if those engineers leave or the facility is disrupted, the existing machines keep running but the calibration library stops growing, and the software that makes the machines valuable to customers gradually falls behind the fabric types and production speeds the market will require.
How does this company make money?
The company sells machines outright, from $2,800 for a basic lockstitch model up to $15,000 for a multi-needle computerized system, collecting a 30% deposit when the order is placed and the remainder on delivery. It also earns recurring revenue by selling replacement parts — needle bars, timing belts, and servo motor components — to factories already running its machines. On top of that, it charges $1,200 per operator for the multi-day certification training program.
What makes this company hard to replace?
Factory operators go through a 6-week training program built around this company's specific control interface — that training does not transfer to a competitor's machine. The factory's own management software connects to these machines through proprietary data protocols, and switching to a rival would require completely reprogramming those integrations. Spare parts for pneumatic systems from other manufacturers are not compatible with these servo-driven components, so a factory that has built up a parts inventory is further tied in.
What limits this company?
Every new software version must be physically tested against real fabric samples in Taizhou by experienced technicians before it can ship. That step cannot be split across multiple sites or handed to a machine, which means the pipeline produces one new machine model every 18 months no matter how much customer demand exists for something faster.
What does this company depend on?
The company cannot run without Japanese THK linear motion guides for needle bar assemblies, German Groz-Beckert needles for compatibility certification, Siemens programmable logic controllers for machine automation interfaces, specialized steel alloys from Baosteel for cam shaft manufacturing, and CE marking certification to sell into European textile factories.
Who depends on this company?
Vietnamese garment factories making goods for Nike and Adidas would face production line shutdowns within 72 hours if their lockstitch machines failed during peak season. Turkish denim manufacturers would lose Just-In-Time delivery contracts with Zara and H&M if their overlock machines could not hold seam consistency at 4,000 stitches per minute. Chinese footwear assembly plants would halt stitching of athletic shoe uppers for New Balance and Puma production schedules.
How does this company scale?
Once a control algorithm has passed physical testing in Taizhou, it can be embedded in an unlimited number of machines at no meaningful extra cost — the software replicates freely, and so do the mechanical engineering designs. What does not scale is the calibration work itself: every new fabric type still requires an experienced technician manually adjusting timing parameters by hand in Taizhou, and that step stays just as slow whether the company is shipping 500 machines a year or 5,000.
What external forces can significantly affect this company?
U.S.-China trade tariffs hit exports to American textile manufacturers directly, forcing either price increases or lower margins. As minimum wages rise in Vietnam and Bangladesh, garment factories demand faster and more capable automation, which requires more sophisticated control systems and puts pressure on the 18-month development cycle. European Union machinery safety directives require additional sensors and emergency stop mechanisms that add to manufacturing costs.
Where is this company structurally vulnerable?
If the Taizhou engineering team were disrupted — key engineers leaving, a regulatory restriction on the facility, or a forced move — the calibration library would freeze. Machines already in the field would keep running, but the ability to add new fabric profiles, release new models, or develop next-generation control systems would stop entirely. Because the calibration process requires engineers, fabric samples, and test machines all in the same place, rebuilding it anywhere else would mean rerunning years of physical testing from scratch.
Price is read as structure — trend, levels, range, peak and volatility drawn on the chart. It does not predict where price goes next.
1 interpretation currently present — each is a set of fired observations whose alignment reads as one structural pattern. Click an observation to see the numbers behind it.
Multi-Year Up-Close-Week Share With Profitability And Book-Value Growth
Three observations describe the present configuration: a high share of the trailing three years' weekly closes were higher than the prior week, the company has reported positive net income in each of the last five annual periods, and the book-value-increase-consistency composite over the trailing 5 years is elevated.
Reads
An interpretation is present only while every observation it reads stays fired (score ≥ 70). It describes what the aligned readings show — never a verdict, never a prediction.
What the company actually pays, and whether its own cash supports it.
Dividends view
Yield
1.15%Below 5Y avg (1.61%)
Annual Rate
CNY 0.45Paid annual
Payout Ratio
27.5%Sustainable
Payback Period
84.0 yr
Last Ex-Dividend
Jun 11, 2026
The reported statements, read against the company's own industry.
Financials view
Market Capitalization
18.69BCNY
vs all stocks (USD)
Updated Jul 16, 2026
Trailing P/E
21.11x
vs Specialty Industrial Machinery peers
Updated Jul 16, 2026
Revenue (TTM)
6.82BCNY
vs all stocks (USD)
Updated Jul 16, 2026
Profit Margin
12.72%
vs Specialty Industrial Machinery peers
Updated Jul 16, 2026
Beta
0.2710x
vs all stocks
Updated Jul 16, 2026
52-Week Change
1.66%
vs all stocks
Updated Jul 16, 2026
Market Capitalization
18.69BCNY
vs all stocks (USD)
Updated Jul 16, 2026
Enterprise Value
15.66BCNY
vs all stocks (USD)
Updated Jul 16, 2026
Trailing P/E
21.11x
vs Specialty Industrial Machinery peers
Updated Jul 16, 2026
Gross Margin
32.41%
vs Specialty Industrial Machinery peers
Updated Jul 16, 2026
Profit Margin
12.72%
vs Specialty Industrial Machinery peers
Updated Jul 16, 2026
Operating Margin
14.55%
vs Specialty Industrial Machinery peers
Updated Jul 16, 2026
Shares Outstanding
476.41MSharesUpdated Jul 16, 2026
Float Shares
138.68MSharesUpdated Jul 16, 2026
% Held by Insiders
65.94%
vs all stocks
Updated Jul 16, 2026
% Held by Institutions
7.34%
vs all stocks
52-Week Low
34.75CNYUpdated Jul 16, 2026
52-Week High
57.33CNYUpdated Jul 16, 2026
52-Week Change
1.66%
vs all stocks
Updated Jul 16, 2026
Beta
0.2710x
vs all stocks
Updated Jul 16, 2026
1 interpretation currently present — each is a set of fired observations whose alignment reads as one structural pattern. Click an observation to see the numbers behind it.
MRQ Cash Elevated Relative To Total Debt With EBITDA And FCF Elevated Relative To Total Liabilities
Three observations have aligned: most-recent-quarter total cash is in the upper portion of its mapped range against most-recent-quarter total debt, EBITDA-to-total-liabilities is in the upper portion of its mapped range, and FCF-to-total-liabilities is in the upper portion of its mapped range.
Reads
An interpretation is present only while every observation it reads stays fired (score ≥ 70). It describes what the aligned readings show — never a verdict, never a prediction.
Shared structure with peers — never a ranking.
Relationships view
Structural observations derived from financial data, industry benchmarks, and supply chain position.
Financial Health
Altman Z-Score: safe zoneNotable
Altman Z-Score: 5.49
High structural barrier to entryNotable
Barrier to Entry: 1.17
Supply Chain
Downstream position: depends on 12 industries, supplies 4Notable
Outgoing: 4.00Incoming: 12.00
High connectivity hub: 16 industry connectionsNotable
Total Connections: 16.00
Scale
Market cap is above the global medianNotable
Market cap (USD): 2,758,776,378.328Global Median: 1,131,585,792.619
MRQ Cash Elevated Relative To Total Debt With EBITDA And FCF Elevated Relative To Total LiabilitiesMulti-Year Up-Close-Week Share With Profitability And Book-Value Growth
MRQ Cash Elevated Relative To Total Debt With EBITDA And FCF Elevated Relative To Total LiabilitiesMulti-Year Up-Close-Week Share With Profitability And Book-Value Growth
MRQ Cash Elevated Relative To Total Debt With EBITDA And FCF Elevated Relative To Total LiabilitiesMulti-Year Up-Close-Week Share With Profitability And Book-Value Growth