Held · Bookmarked
0 · 0
portfolios · users
Avg position size
—
of holders' portfolios
13F filers
0
institutions
Market cap
$750.1M
211M shares
52-week range
$2.32 – $6.05
39% from low
Sector
SEMICONDUCTORS & RELATED DEVICES
Exchange
NASDAQ
CS
Borrow rate
1.34%
Moderate
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| 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | |
|---|---|---|---|---|---|---|---|---|
| Revenue | $28.7M | $22.7M | $22.6M | $48.4M | $110.8M | $223.2M | $216.7M | $217.4M |
| Cost of revenue | $19.1M | $35.9M | $13.0M | $28.7M | $60.5M | $278.3M | $126.4M | $129.8M |
| Gross profit | $9.6M | −$13.2M | $9.6M | $19.7M | $50.3M | −$55.1M | $90.3M | $87.6M |
| Gross margin | 33.5% | -58.1% | 42.3% | 40.7% | 45.4% | -24.7% | 41.7% | 40.3% |
| R&D | $13.5M | $20.2M | $22.0M | $58.1M | $121.2M | $154.5M | $175.1M | $154.1M |
| Operating income | −$8.5M | −$18.9M | −$19.2M | −$74.8M | −$119.1M | −$135.4M | −$170.1M | −$144.2M |
| EBITDA | −$6.7M | −$14.9M | −$93.5M | −$111.7M | −$35.7M | −$89.9M | −$93.9M | −$102.0M |
| Net income | −$10.2M | −$20.5M | −$97.5M | −$88.0M | −$43.4M | −$117.6M | −$132.6M | −$144.0M |
| Net margin | -35.5% | -90.1% | -431.2% | -181.9% | -39.2% | -52.7% | -61.2% | -66.2% |
| EPS (diluted) | -0.10 | -0.18 | -0.78 | -1.26 | -0.37 | -0.81 | -0.76 | -0.72 |
Annual figures · source: Financial Modeling Prep
| Year | Est. revenue | Est. EPS | EPS range | # Analysts |
|---|---|---|---|---|
| 2026 | $266M | $-0.16 | $-0.19–$-0.12 | 5 |
| 2027 | $360M | $0.05 | $-0.11–$0.29 | 4 |
| 2028 | $521M | $0.29 | $-1.92–$2.50 | 2 |
Forward consensus · source: Financial Modeling Prep
Indie Semiconductor Inc caters to the autotech industry with semiconductors, photonics, and software platforms. The company's products include devices for a multitude of automotive applications spanning vision and radar processors, in-cabin wireless charging and USB power delivery, device interfacing through Apple CarPlay and Android Auto, and high-speed video and data connectivity. New products under evaluation or development include LiDAR, cybersecurity-enabled microcontrollers, and sensor-fusion processors. Its Photonics division mainly offers low-noise lasers, standard, and custom light sources. Geographically, the company generates the majority of its revenue from Greater China and the rest from the United States, Europe, South Korea, and other regions.
www.indie.incNo one on the platform currently holds INDI.
No tracked institution reports a position in INDI as of their last filing.
| Execution date | Ratio |
|---|---|
| 2003-06-03 | 1-for-4reverse |
No one on the platform has traded INDI yet.
| $445M |
| — |
| MXLMaxLinear, Inc. | $96.60 | +2.25% | $8.7B | — |
| POETPOET Technologies Inc. | $9.44 | -6.81% | $1.2B | — |
Source: Financial Modeling Prep · peers by sector/industry
Trading at 2.9× sales vs its 5.2× historical median P/S.
Fair value ≈ $6.72 · price $3.76 today
Fair-value line = the stock's median historical P/S × sales per share. Price below the orange line = cheap vs its own history; above = expensive. Not investment advice.
$TSLA $CCXI $OUST $BOT $INDI INDIE inside Unitree and Figure AI w dram-less humanoid robotics NPU 🤖 👀 https://share.google/GNvfRqH1x3qu0vhnu
View on StockTwits ↗$INDI Penny 👃👀 https://x.com/i/status/2071670367853130107
View on StockTwits ↗$INDI this will take off gotta get in position while its still under $5 yall.
View on StockTwits ↗$OUST It's days like this that shareholders in $MVIS and $LIDR and especially former shareholders of $LAZR fully realize that they picked the wrong LiDAR Stock. And I told the $INDI people long ago in another forum that they should be paying attention to where Ouster was headed. Some people get tribal about who/why they support companies they're invested in. Gotta know when to leave the tribe and embrace Enlightenment (pun intended).
View on StockTwits ↗@SwingTraderPro1 $INDI deserves more love than it's getting right now. Adding more.
View on StockTwits ↗A List of Robotics Stocks: Chips $NVDA Nvidia $AMBQ Ambiq $AMBA Ambarella $INDI indie The brains of the robotics era will ultimately be powered by chips. From autonomous driving to humanoid robots, compute will be the key competitive advantage. NVDA remains the clear leader in AI training and inference and is involved in nearly every major robotics project. AMBQ focuses on ultra-low-power edge AI chips, making it well-positioned for robotics endpoints. AMBA has deep expertise in vision processing and autonomous systems, while INDI is building its presence in automotive and edge-computing semiconductors. Over the next decade, the value of robotics won't just be in hardware—it will be in compute and software ecosystems. The companies that control AI chips and edge intelligence could become the foundational suppliers of the intelligent machine era. Which company do you think becomes the "Nvidia of robotics"?
View on StockTwits ↗$INDI 👃👀 https://x.com/i/status/2070968846429684001
View on StockTwits ↗$INDI 👃👀 https://x.com/i/status/2070482143919153261
View on StockTwits ↗$INDI 👃👀 https://x.com/i/status/2070190316720718091
View on StockTwits ↗Our not missing the robotics bull run: Compute, Chips, and Memory (Brain) $AMBA - edge AI vision SoCs $AMBQ - ultra-low-power edge AI silicon $ATOM.X - semi materials and IP licensing $INDI - ADAS and automotive semis $LSCC - low-power FPGAs Premium vision SoC monarch AMBA (Ambarella) pairs seamlessly with AMBQ (Ambiq Micro) to control the definitive hardware stack for ultra-low-power localized inference, bypassing latency bottlenecks and driving powerful right-side PEG expansion. IP licensing pure-play ATOM leverages its proprietary MST (Moat Surface Treatment) crystal lattice technology to secure advanced node yields. Flanked by ADAS semiconductor driver INDI and low-power FPGA pioneer LSCC (Lattice Semiconductor), this cluster secures the absolute hardware control hub for next-gen embodied intelligence. Are you layering into left-side limit entry orders to build positions on high-velocity plays like AMBQ and ATOM during these localized pullbacks, or holding cash? Drop your playbook below!
View on StockTwits ↗I’m not missing the robotics / physical AI bull run: Compute, Chips & Memory (the “brain” layer): $AMBA - edge AI vision SoCs powering real-time perception at the edge $AMBQ - ultra-low-power edge silicon for always-on intelligence $ATOM.X - semiconductor materials + IP layer enabling advanced chip architectures $INDI - ADAS + automotive semis tied to autonomous driving rollout $LSCC - low-power FPGAs used in flexible, real-time compute workloads This is the decision-making layer of robotics - where perception turns into action. Before robotics scales physically, compute efficiency and edge inference always scale first. Still refining the basket, but this is where the “brains” of autonomy are being built.
View on StockTwits ↗$INDI INSIDE: BMW deploys Figure 03 humanoid at smart factory for logistics https://interestingengineering.com/ai-robotics/bmw-figure-03-humanoid-robot-smart-factory-us
View on StockTwits ↗$INDI has dram-less chips for humanoid robot vision 🤖👀 $MU $SNDK $NVDA $TSLA
View on StockTwits ↗@KornieAwareness7 $INDI already in Figure AI and Unitree https://x.com/i/status/2070846896860508445
View on StockTwits ↗Recent $TICKER stream from stocktwits.com — refreshed every 5 minutes. Sentiment tags are self-reported by posters. Not investment advice.
Click to see transaction details on SEC.gov. Form 4s cover trades by officers, directors, and 10%+ owners, due within 2 business days of the trade.