Machine learning predictions based on historical earnings data and price patterns
1-Day Prediction
-1.93%
$2.03
0% positive prob.
5-Day Prediction
-6.01%
$1.94
0% positive prob.
20-Day Prediction
-11.44%
$1.83
0% positive prob.
SEC 8-K filings with transcript text
Aug 6, 2026 · 100% conf.
1D
-1.93%
$2.03
Act: +10.84%
5D
-6.01%
$1.94
Act: +14.23%
20D
-11.44%
$1.83
Transcript text not available. View on SEC.gov →
May 7, 2026
Feb 26, 2026
htz-20260226
00016578530000047129false00016578532026-02-262026-02-260001657853htz:TheHertzCorporationMember2026-02-262026-02-260001657853us-gaap:CommonStockMember2026-02-262026-02-260001657853us-gaap:WarrantMember2026-02-262026-02-26
Washington, D.C. 20549
Pursuant to Section 13 or 15(d) of the Securities Exchange Act of 1934
Date of Report (Date of earliest event reported) February 26, 2026
(Exact name of registrant as specified in its charter)
Delaware001-3766561-1770902
Delaware001-0754113-1938568
(State or other jurisdiction of incorporation)(Commission File Number)(I.R.S. Employer Identification No.)
8501 Williams Road
Estero,Florida33928
239301-7000
(Address, including Zip Code, and telephone number, including area code, of registrant's principal executive offices)
Not Applicable
Not Applicable
(Former name, former address and former fiscal year, if changed since last report.)
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 ClassTrading Symbol(s)Name of Each Exchange on which Registered
Hertz Global Holdings, Inc.Common Stockpar value $0.01 per shareHTZThe Nasdaq Stock Market LLC
Hertz Global Holdings, Inc.Warrants to purchase common stockHTZWWThe Nasdaq Stock Market LLC
The Hertz CorporationNoneNone None
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. o
On February 26, 2026, Hertz Global Holdings, Inc. issued a press release announcing its financial results for the quarter ended December 31, 2025. A copy of the press release is attached as Exhibit 99.1 to this Current Report on Form 8-K.
The information in this Item 2.02, including the exhibit attached hereto, is being furnished and shall not be deemed to be filed for the purposes of the Securities Exchange Act of 1934, as amended (the “Exchange Act”), or incorporated by reference into any filing under the Securities Act of 1933, as amended, or the Exchange Act, unless such subsequent filing specifically references this Current Report on Form 8-K.
(d) Exhibits.
Exhibit Description
99.1
Press Release, dated February 26, 2026, of Hertz Global Holdings, Inc.
104.1Cover Page Interactive Data File (embedded within the Inline XBRL document)
Pursuant to the requirements of the Securities Exchange Act of 1934, each registrant has duly caused this report to be signed on its behalf by the undersigned hereunto duly authorized.
(each, a Registrant)
By:/s/ SCOTT M. HARALSON
Name:Scott M. Haralson
Title:Executive Vice President and Chief Financial Officer
Date: February 26, 2026
This page provides Hertz Global Holdings Inc (HTZ) 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 HTZ'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.