Synaptics (SYNA) Receivables (2010 - 2026)
Synaptics (SYNA) recorded Receivables of $164 million in fiscal Q4 2026 (quarter ended Jun 27, 2026), up 25.9% from $130.3 million a year earlier and up 0.9% from the prior quarter.
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Analysis
Synaptics (SYNA) Receivables (2010 - 2026) Analysis & Trends
Starting with fiscal Q4 2010, Synaptics' Receivables history includes 62 quarters.
- Annual Receivables has a five-year compound annual growth rate of -6.4% (FY2021 to FY2026).
- Across earlier fiscal years, Receivables came in at $130.3 million in FY2025 (-8.5%), $142.4 million in FY2024 (-13.1%), $163.9 million in FY2023 (-49.1%) and $322.1 million in FY2022 (+41.1%).
- The fiscal Q4 2026 figure is the highest quarterly Receivables since fiscal Q3 2023.
- On a year-over-year basis, Receivables rose in four of the last eight quarters, with growth averaging 6.0%.
- Peak year-over-year performance for Receivables in the last five years was growth of 41.1% in fiscal Q4 2022, against a decline of 60.9% in fiscal Q1 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $162.5 million (Q3 2026), $132.7 million (Q2 2026) and $119.5 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 63.30 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 13.95 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 20.89 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 31.23 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 7.28 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | 4.03 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 4.03 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 5.34 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 7.69 Bn |
| 10 | Synaptics | 4.73 Bn | 2.99 Bn | 145.80 Mn | 164.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 164.00 Mn |
| Mar 28, 2026 | 162.50 Mn |
| Dec 27, 2025 | 132.70 Mn |
| Sep 27, 2025 | 119.50 Mn |
| Jun 28, 2025 | 130.30 Mn |
| Mar 29, 2025 | 132.00 Mn |
| Dec 28, 2024 | 146.50 Mn |
| Sep 28, 2024 | 135.80 Mn |
| Jun 29, 2024 | 142.40 Mn |
| Mar 30, 2024 | 144.70 Mn |
| Dec 30, 2023 | 126.60 Mn |
| Sep 30, 2023 | 111.20 Mn |
| Jun 24, 2023 | 163.90 Mn |
| Mar 25, 2023 | 218.20 Mn |
| Dec 24, 2022 | 255.00 Mn |
| Sep 24, 2022 | 284.10 Mn |
| Jun 25, 2022 | 322.10 Mn |
| Mar 26, 2022 | 298.30 Mn |
| Dec 25, 2021 | 312.20 Mn |
| Sep 25, 2021 | 269.70 Mn |
API Access
Synaptics Receivables API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=receivables&ticker=SYNA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "ticker": "SYNA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=receivables&ticker=SYNA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();