EXPD
26
-3
L
51
2
AA
34
2
ETR
74
5
IVZ
46
-2
INTC
16
-2
F
44
-2
BWA
50
-2
BA
45
-3
ADP
74
-2
GOOG
71
-4
MTCH
46
-2
EMN
46
-2
UPS
33
-2
PNC
61
-2
ADSK
62
-3
NWL
33
-2
NI
75
2
GME
94
3
V
62
-2
EXPD
26
-3
L
51
2
AA
34
2
ETR
74
5
IVZ
46
-2
INTC
16
-2
F
44
-2
BWA
50
-2
BA
45
-3
ADP
74
-2
GOOG
71
-4
MTCH
46
-2
EMN
46
-2
UPS
33
-2
PNC
61
-2
ADSK
62
-3
NWL
33
-2
NI
75
2
GME
94
3
V
62
-2
Financhill
Back

SpartanNash Stock Predictions

Not Meta. Not Google. AI 2.0 Is Here, And It's Still Early.

DISCLOSURE: This is a paid advertisement for RAD Intel's Reg A offering. Please read the offering circular and related risks at invest.radintel.ai. *RAD Intel recently received their ticker reservatio
Sell
38

SPTN
SpartanNash

Last Price:
$18.83
Seasonality Move:
-0.38%

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Disclosure: *This is a paid advertisement for Boxabl's Regulation A offering. Please read the offering circular at invest.boxabl.com. This is a message from Boxabl.

SpartanNash Stock Forecast

  • Over the next 52 weeks, SpartanNash has on average historically risen by 14.9% based on the past 24 years of stock performance.
  • SpartanNash has risen higher in 14 of those 24 years over the subsequent 52-week period, corresponding to a historical accuracy of 58.33%
  • Is SpartanNash Stock Undervalued?
    The current SpartanNash [SPTN] share price is $18.81. The Score for SPTN is 38, which is 24% below its historic median score of 50, and infers higher risk than normal.
  • SPTN is currently trading in the 30-40% percentile range relative to its historical Stock Score levels.

Will SpartanNash Stock Go Up Next Year?

  • Over the next 52 weeks, SpartanNash has on average historically risen by 14.9% based on the past 24 years of stock performance.

SpartanNash Stock Rating

Sell
38
SpartanNash (SPTN) is a Sell

Is SpartanNash overpriced?

  • SpartanNash has risen higher in 14 of those 24 years over the subsequent 52-week period, corresponding to a historical accuracy of 58.33%

SpartanNash Stock Price History

Is SPTN stock going to rise?

  • Based on the share price being below its 5, 20 & 50 day exponential moving averages, the current trend is considered strongly bearish and SPTN is experiencing selling pressure, which indicates risk of future bearish movement.

Stock Information

Stock Info

Exchange:
NASDAQ
Country:
United States
Industry:
Consumer Staples Distribution & Retail
Sector:
Consumer Staples
Type:
stock
Website:
spartannash.com

52-Week Data

52-Week High:
23.00
52-Week Low:
17.30

Prediction Charts

Market Cap:
635.1M
Price in USD:
18.81
Volume:
243.3K
Beta:
0.61

Technical Analysis

SMA50:
19.71
SMA100:
19.30
SMA200:
19.92
52-Wk Change:
-8.47%

Stock Predictions

  • Is SpartanNash stock public?
    Yes, SpartanNash is a publicly traded company.
  • What is the SpartanNash stock quote today?
    The SpartanNash stock price is 18.81 USD today.
  • How to buy SpartanNash stock online?
    You can buy SpartanNash shares by opening an account at a top tier brokerage firm, such as TD Ameritrade or tastyworks.

14-Day Historical Data

Date Opening Closing Minimum Maximum
May-6 19.29 19.10 19.30 19.01
May-7 19.18 18.71 19.23 18.59
May-8 19.18 19.11 19.18 18.65
May-9 19.07 19.10 19.39 18.87
May-12 19.27 19.10 19.32 18.86
May-13 19.13 19.02 19.31 19.00
May-14 18.90 18.74 19.05 18.51
May-15 18.90 19.44 19.44 18.80
May-16 19.39 19.84 19.97 19.39
May-19 19.75 19.74 19.95 19.61
May-20 19.70 20.00 20.02 19.69
May-21 19.76 19.44 19.76 19.27
May-22 19.37 18.96 19.51 18.93
May-23 18.92 18.81 19.06 18.80

SpartanNash Earnings

SpartanNash Earnings Report: Per Share SpartanNash Earnings Q1 Q2 Q3 and Q4 last year and next year.

SpartanNash Forecast Revenue Growth

SpartanNash Stock Analysis: Historical quarterly revenues per share for SpartanNash and historical quarterly revenue growth:

  • Analysts estimate an earnings decrease this quarter of $0.06 per share, an increase next quarter of $0.02 per share, a decrease this year of $0.15 per share, and an increase next year of $0.06 per share.

* SpartanNash stock forecasts short-term for next days and weeks may differ from long term prediction for next month and year based on timeline differences.