EXLS vs INOD: Which Is the Better Buy in 2026?

Same yardstick, side by side (as of October 2026). Valuation lined up like this is most meaningful for two names in the same corner of the market, which these are. Figures are approximate; verify before investing.

Reading it: EXLS is the cheaper of the two on forward earnings, but cheaper is not the same as better. Pair the valuation with growth (how far the forward P/E sits below the trailing P/E) and risk (beta) before you decide.

The metrics above tell you which is the marginally better business. The bigger risk for most people is not picking the slightly worse stock, it is over-concentrating. EXLS and INOD share themes, so owning both, or adding either to what you already hold, can quietly push a large share of your portfolio into one bet.

This is the part a generic comparison page cannot answer, because it depends on what you own. Connect your brokerage and Walnut shows your real, combined EXLS and INOD exposure, flags overlap with your existing positions, and tells you if adding one would tip you past a concentration you are comfortable with, read-only by default, with your login staying at your broker. Walnut is not an investment adviser.

ExlService Holdings (Nasdaq: EXLS), which markets itself as EXL, is a global data and AI company that combines deep industry domain expertise with analytics, cloud, and machine learning to run complex operations and deliver insights for large enterprises. Its clients are concentrated in insurance, healthcare, banking and financial services, media, and retail, and the business splits into two reported lines: data and AI-led services (the growth engine, roughly 60% of revenue) and digital operations and solutions (the more mature outsourcing base). The company is headquartered in New York and employs about 65,000 people across six continents.

Full EXLS guide

Innodata is a data-engineering and AI-services company that provides the training data, data annotation, fine-tuning, evaluation, and safety or red-teaming work that organizations use to build and improve AI systems. Its customers include several of the largest technology companies, often described as building frontier generative-AI models, and Innodata positions itself less as a one-off data supplier and more as a lifecycle partner across model training, agentic AI, and emerging physical-AI workloads. The work blends software platforms with large pools of human expertise.

Full INOD guide

Both fit overlapping themes, but they are not interchangeable. The useful comparison is which set of drivers and risks you want exposure to.

• EXLS drivers: Data and AI-led mix shift; Vertical domain depth.
• INOD drivers: Riding AI-data demand; Expanding the big-tech roster.

A faster-growing, richer-valued name usually swings harder, so it suits a longer horizon and a higher tolerance for volatility; a steadier, more cash-generative business suits a more conservative or income-minded investor. The honest test is which set of risks you could hold through a drawdown: AI is a double-edged sword: the same automation EXL sells could compress the value of its large digital-operations base, pressuring pricing and volumes over time, and that worry helps explain why the stock fell to about $25 at its 52-week low despite steady beats. For INOD, customer concentration is the headline risk: in the second quarter of 2026 the largest customer was about 37% of revenue and a second about 34%, so losing or shrinking one relationship could hit results hard.

Growth-minded investors who believe the theme has years to run tend to accept the richer multiple for more upside; value-minded investors lean toward the cheaper forward earnings and steadier profile. Pick EXLS if you believe its drivers more; INOD if you believe its. Many investors hold both, but since they share themes, that is a concentrated bet, not diversification. Decide deliberately and check overlap. For the full detail, see the EXLS and INOD guides.

EXLS. At about $39.58, EXLS trades near 25x trailing GAAP earnings but only about 15x forward EPS estimates, a gap that comes from adjusted and forecast earnings running well ahead of reported GAAP profit. The forward multiple is modest for a company growing revenue in the mid-teens, which is part of why analysts carry a mean target near $45. Q3 results on October 27, 2026 (consensus ~$0.56 EPS, ~$615M revenue) will show whether growth holds above 15%.

INOD. Figures are approximate and as of mid-October 2026; verify current numbers before acting. Innodata's multiple has compressed as the stock fell about a third over the past year while earnings kept growing, so it now trades near 42 times trailing and 26 times forward earnings, and about 5.8 times sales, still a premium to most IT-services peers. Q3 results on November 5 will test whether the market's caution about a softer quarter is justified.

Headline figures (approximate, October 2026): EXLS shows revenue (ttm) ~$2.24B, q2 2026 revenue ~$595M (+~15.6% YoY), margins (gross / operating / net) ~38.5% / ~14.6% / ~11.2%, net income (ttm) ~$250M; INOD shows revenue (ttm) ~$317M, q2 2026 revenue / growth ~$92.1M, ~58% YoY, adjusted gross margin (q2 2026) ~49%, net income (ttm) ~$46M; profit margin ~15%.

EXLS and INOD are related but distinct: same themes, different businesses and risks. Neither wins in the abstract; the right pick is whichever thesis you actually believe, sized so you are not over-concentrated in one theme. Walnut can show your combined EXLS and INOD exposure against your real portfolio. It is not an investment adviser.