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iFabric (IFA.TO)
iFabric stock price today, ATLAS forecast and fair value
Consumer Cyclical · Apparel Manufacturing · Toronto Stock Exchange · Canada
CA$3.95▲ +0.51%
Prices as of Oct 27, 2026 · CAD
Chance of rising in 1 month
48%
that it ends higher than today in 21 sessions
0%coin flip 50%100%
This is just the summary. See everything on iFabric in ATLAS
ATLAS's own quantitative analysis, all in one place.
- Simulation and expected rangeThousands of simulated scenarios: how far the price could rise or fall.
- Officers and shareholdersWho runs the company and which funds hold its shares.
- Customer and supplier mapWho it does business with, from its own filings.
- ATLAS builds your portfolioAnswer a short test and get portfolios that fit you.
- AlertsWe let you know when something changes in your stocks.
See everything included
- Valuation and financialsFair value step by step, quarterly accounts and upcoming events.
- NewsThe latest on the company, in one place.
- Crisis simulatorHow your portfolio would do in a crash like 2008.
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- Global screenerSearch US stocks and stocks from 47 countries with filters.
On iFabric
- Simulation and expected rangeThousands of simulated scenarios: how far the price could rise or fall.
- Officers and shareholdersWho runs the company and which funds hold its shares.
- Customer and supplier mapWho it does business with, from its own filings.
- Valuation and financialsFair value step by step, quarterly accounts and upcoming events.
- NewsThe latest on the company, in one place.
And for you
- ATLAS builds your portfolioAnswer a short test and get portfolios that fit you.
- AlertsWe let you know when something changes in your stocks.
- Crisis simulatorHow your portfolio would do in a crash like 2008.
- Practice risk-free$10,000 in virtual money to invest at real prices.
- Global screenerSearch US stocks and stocks from 47 countries with filters.
Plans from €3.99 a month.
ATLAS's model gives iFabric a 48% chance of finishing higher a month from now (21 trading sessions) than today: close to a coin flip.
In half of the simulated outcomes the price ends between CA$3.60 and CA$4.29; in 9 out of 10, between CA$3.09 and CA$5.00. Estimated annual volatility is 44%.
Price, last 12 months (weekly close)
Key numbers
- Market cap
- CA$147M
- Market cap (USD)
- $105M
- P/E ratio
- 33.4
- 52-week high
- CA$5.73
- 52-week low
- CA$1.13
- Revenue (12 months)
- CA$57.1M
- Gross margin
- 30.5%
- Operating margin
- -3.3%
- Net margin
- 6.9%
- Beta
- -0.22
What this means
ATLAS does not publish a fair value for IFA.TO right now, but it does show its odds of rising: close to a coin flip.
Over the last 52 weeks IFA.TO has traded between CA$1.13 and CA$5.73. Today it is 31.1% below that high and 250% above its low.
On the business: net margin is 6.9%; it trades at 33.4 times earnings.
Its beta is -0.22: it tends to move less than the market.
About the company
iFabric Corp. engages in the design and distribution of women's intimate apparel and accessories in Canada, the United States, the United Kingdom, Southeast Asia, and internationally. It operates in three segments: Intimate Apparel, Intelligent Fabrics, and Other.
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Comparable companies
Other companies in the same line of business:
Frequently asked questions
What does iFabric do?
iFabric Corp. engages in the design and distribution of women's intimate apparel and accessories in Canada, the United States, the United Kingdom, Southeast Asia, and internationally. It operates in three segments: Intimate Apparel, Intelligent Fabrics, and Other.
What is the chance IFA.TO goes up next month?
48%: close to a coin flip. In half of the simulated outcomes, IFA.TO ends the month between CA$3.60 and CA$4.29.
How big is iFabric and what is its P/E ratio?
iFabric's market capitalization is CA$147M. Its price-to-earnings (P/E) ratio is 33.4: you pay CA$33.4 for each CA$1.00 of yearly earnings.
How volatile is IFA.TO?
ATLAS estimates annual volatility at 44%. In a typical month, half of the outcomes end between CA$3.60 and CA$4.29.
Not investment advice. ATLAS estimates are produced by statistical models from public data; they can be wrong and past performance does not predict future results. Consider your own situation before investing. Disclaimer