Machine learning predictions based on historical earnings data and price patterns
1-Day Prediction
-6.55%
$7.78
0% positive prob.
5-Day Prediction
-10.90%
$7.42
0% positive prob.
20-Day Prediction
-5.53%
$7.87
0% positive prob.
| Quarter | Signal | 1D Return | 5D Return | 20D Return | Confidence | Actual 5D |
|---|---|---|---|---|---|---|
| Q3 2026 | SELL | -6.55% | -10.90% | -5.53% | 100.0% | Pending |
| Q2 2026 | BUY | +0.73% | +6.80% | +16.63% | 100.0% | +13.97% |
SEC 8-K filings with transcript text
Nov 5, 2026 · 100% conf.
1D
-6.55%
$7.78
5D
-10.90%
$7.42
20D
-5.53%
$7.87
bark-20261105
0001819574FALSE00018195742026-11-052026-11-050001819574bark:CommonStockPareValue00001Member2026-11-052026-11-05
Washington, D.C. 20549
Pursuant to Section 13 or 15(d)
of the Securities Exchange Act of 1934
Date of Report (Date Earliest Event Reported):
November 5, 2026
BARK, Inc.
(Exact name of registrant as specified in its charter)
Delaware001-3969185-1872418
(State or Other Jurisdiction
of Incorporation) (Commission File Number)(IRS Employer Identification No.)
20 Jay Street, Suite 940
Brooklyn, NY
11201
(Zip Code)
(Address of Principal Executive Offices)
(855) 501-2275
(Registrant’s telephone number, including area code)
Check the appropriate box below if the Form 8-K filing is intended to simultaneously satisfy the filing obligation of the registrant under any of the following provisions:
☐Written communications pursuant to Rule 425 under the Securities Act (17 CFR 230.425)
☐Soliciting material pursuant to Rule 14a-12 under the Exchange Act (17 CFR 240.14a-12)
☐Pre-commencement communications pursuant to Rule 14d-2(b) under the Exchange Act (17 CFR 240.14d-2(b))
☐Pre-commencement communications pursuant to Rule 13e-4(c) under the Exchange Act (17 CFR 240.13e- 4(c))
Securities registered pursuant to Section 12(b) of the Act:
Title of each class Trading
Symbol(s)
Name of each exchange on
which registered
Common Stock, par value $0.0001BARKNew York Stock Exchange
Indicate by check mark whether the registrant is an emerging growth company as defined in Rule 405 of the Securities Act of 1933 (§230.405 of this chapter) or Rule 12b-2 of the Securities Exchange Act of 1934 (§240.12b-2 of this chapter).
Emerging growth company ☐
If an emerging growth company, indicate by check mark if the registrant has elected not to use the extended transition period for complying with any new or revised financial accounting standards provided pursuant to Section 13(a) of the Exchange Act. ☐
Item 2.02 Results of Operations and Financial Condition.
On November 5, 2026, BARK, Inc. (the “Company”) issued a press release announcing its financial results for its fiscal second quarter ended September 30, 2026. A copy of the press release is furnished herewith as Exhibit 99.1 and is incorporated herein by reference.
The information contained in this Item 2.02 and in the accompanying Exhibit 99.1 shall not be deemed “filed” for purposes of Section 18 of the Securities Exchange Act of 1934, as amended (the “Exchange Act”), or incorporated by reference in any filing under the Securities Act of 1933, as amended, or the Exchange Act, regardless of any general incorporation language in such filing, unless expressly incorporated by specific reference in such filing.
Item 9.01 Financial Statements and Exhibits
(d) Exhibits
Exhibit No.Description
99.1 Press release dated as of November 5, 2026
104Cover Page Interactive Data File (embedded within the Inline XBRL document)
Pursuant to the requirements of the Securities Exchange Act of 1934, the registrant has duly caused this report to be signed on its behalf by the undersigned hereunto duly authorized.
BARK, Inc.
By:/s/ Anya Hamill
Name: Anya Hamill
Title: Chief Financial Officer
Date: November 5, 2026
Aug 6, 2026 · 100% conf.
1D
+0.73%
$9.23
Act: +22.49%
5D
+6.80%
$9.78
Act: +13.97%
20D
+16.63%
$10.68
Transcript text not available. View on SEC.gov →
Feb 5, 2026
This page provides BARK Inc. (BARK) earnings call transcripts from SEC 8-K filings along with AI-powered predictions for post-earnings price movements. Our machine learning models analyze historical earnings data, pre-earnings price patterns, volume changes, and volatility to predict 1-day, 5-day, and 20-day returns after each earnings release.
Earnings transcripts are sourced directly from SEC EDGAR filings. Predictions are generated using gradient boosting models trained on BARK's historical earnings reactions. All predicted returns are shown as percentages, and predicted prices are calculated from the closing price at the time of prediction. Past performance does not guarantee future results.