Singapore Post Limited (SPSTY) Fair Value & Analysis
Industrials · US · Market cap $543M
Singapore Post Limited
SPSTY · US
Fair value as of: Jul 18, 2026
From 15 valuation models · updated 7 days ago
Fair value updated Jul 18, 2026, revised from $5.14 to $5.16 (+0.4%) since Jun 24, 2026. Share price +19.3% over the past month.
Price vs Fair Value (12 months)
12‑month range $4.50 – $8.43 · fair‑value band $3.87 – $6.45 · the $5.37 price screens above the $5.16 fair value. As of Jul 18, 2026.
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Singapore Post Limited (SPSTY) currently trades at $5.37, while our model-based Fair Value estimate is $5.16, implying the stock looks roughly 3.9% fairly valued today. We read business quality at 42/100 (below-average quality), in the Industrials sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium, the entry price still matters most (evidence: high).
Over the trailing twelve months, Singapore Post Limited generated revenue of $376M at a net margin of 16.2%. Revenue declined 27.4% year over year. It earns a return on equity of 4.1%. Net debt stands at $79.8M. Fundamentals as of Jul 18, 2026
Our scenario range runs from $3.87 (bear case) to $6.45 (bull case); at $5.37, the current price sits within that range. The share trades about 36% below its 52-week high and 18% above its 52-week low, currently below its 200-day average. For context, the median of 10 Industrials peers we cover trades at -19% fair-value upside, at -4%, SPSTY screens cheaper than that median.
Key figures & financial health
More key figures
Figures from reported company fundamentals (EODHD) · as of Jul 18, 2026. TTM = trailing twelve months.
About the company
Singapore Post Limited, together with its subsidiaries, engages in the post and parcel, eCommerce logistics, and property businesses in Singapore and internationally. The company offers post and parcel related services for collecting, sorting, transporting, and distributing domestic and international mail, as well as agency, financial, and parcel delivery services; and sells philatelic products. It also provides eCommerce logistics, warehousing, fulfilment and distribution, freight forwarding, and other value-added services. In addition, the company provides property rental, as well as management, and advertising and promotion services. Further, it offers management and consultancy, customs brokerage, and financial and treasury services, as well as online shopping platforms and services. The company was founded in 1819 and is headquartered in Singapore.
Revenue & earnings trend
FY2022 – FY2026 · reported fiscal years
Singapore Post Limited reported revenue of $376M in FY2026 versus $1.7B in FY2022, a compound −31.1%/yr. Reported net income was $60.8M in FY2026, compounding −7.5%/yr from FY2022.
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Similar stocks
10 more Integrated Freight & Logistics stocks, each showing price versus our Fair Value estimate (as of Jul 18, 2026).
| Stock | Price | Fair Value | vs Fair Value |
|---|---|---|---|
| United Parcel Service, Inc UPS | 1,881 MXN | 1,366 MXN | -27% |
| FedEx Corporation FDX | €350.80 | €117.60 | -66% |
| Deutsche Post AG DHL | €51.60 | €120.75 | +134% |
| DSV A/S DSV | kr 1,610 | kr 1,609 | -0% |
| Kuehne + Nagel International AG KNIN | CHF 183.15 | CHF 147.92 | -19% |
| J.B. Hunt Transport Services, Inc JBHT | $291.41 | $133.80 | -54% |
| S.F. Holding 002352 | ¥31.91 | ¥48.64 | +52% |
| C.H. Robinson Worldwide, Inc CHRW | $183.96 | $79.13 | -57% |
| Expeditors International of Washington, Inc EXPD | $164.71 | $107.79 | -35% |
| ZTO Express (Cayman) Inc 2057 | HK$180.10 | HK$328.95 | +83% |
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Frequently asked questions
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How we calculate Fair Value
Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data, nothing guessed.
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Not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.