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CARVANA CO.: filings

Every CARVANA CO. annual and quarterly report in the SEC record with the published financial measures it tagged, 37 filings, each linked to its SEC index.

Filings with published measures

Each page shows what one filing reported, as tagged in that filing, with the periods it covered. Later filings can restate a value; the company overview shows the latest-filed value per period.

FormFiledFiscal periodMeasuresFactsSEC accession
10-Q2026-07-29fiscal Q2 2026421170001690820-26-000055
10-Q2026-04-29fiscal Q1 202640830001690820-26-000035
10-K2026-02-18fiscal FY 2025481230001690820-26-000009
10-Q2025-10-29fiscal Q3 2025411150001690820-25-000353
10-Q2025-07-30fiscal Q2 2025401090001690820-25-000312
10-Q2025-05-07fiscal Q1 202540830001690820-25-000161
10-K2025-02-19fiscal FY 2024441140001690820-25-000074
10-Q2024-10-30fiscal Q3 2024381100001690820-24-000345
10-Q2024-07-31fiscal Q2 2024381060001690820-24-000272
10-Q2024-05-01fiscal Q1 202439820001690820-24-000165
10-K2024-02-22fiscal FY 2023431110001690820-24-000093
10-Q2023-11-02fiscal Q3 2023381100001690820-23-000323
10-Q2023-07-19fiscal Q2 2023391100001690820-23-000219
10-Q2023-05-04fiscal Q1 202337780001690820-23-000163
10-K2023-02-23fiscal FY 2022421080001690820-23-000052
10-Q2022-11-03fiscal Q3 2022381060001690820-22-000313
10-Q2022-08-04fiscal Q2 2022381010001690820-22-000253
10-Q2022-05-10fiscal Q1 202238780001690820-22-000166
10-K2022-02-24fiscal FY 2021421070001690820-22-000080
10-Q2021-11-04fiscal Q3 2021391090001690820-21-000310
10-Q2021-08-05fiscal Q2 2021381020001690820-21-000242
10-Q2021-05-06fiscal Q1 202138810001690820-21-000154
10-K2021-02-25fiscal FY 2020401330001690820-21-000069
10-Q2020-10-29fiscal Q3 2020371030001690820-20-000265
10-Q2020-08-05fiscal Q2 202037990001690820-20-000208
10-Q2020-05-06fiscal Q1 202036770001690820-20-000139
10-K2020-02-26fiscal FY 2019421360001690820-20-000052
10-Q2019-11-06fiscal Q3 2019391110001690820-19-000269
10-Q2019-08-07fiscal Q2 2019371030001690820-19-000193
10-Q2019-05-08fiscal Q1 201937810001690820-19-000102
10-K2019-02-27fiscal FY 2018361150001690820-19-000024
10-Q2018-11-07fiscal Q3 201835920001690820-18-000109
10-Q2018-08-08fiscal Q2 201834900001690820-18-000070
10-Q2018-05-09fiscal Q1 201832680001690820-18-000042
10-K2018-03-06fiscal FY 2017321020001690820-18-000005
10-Q2017-11-07fiscal Q3 201731810001690820-17-000019
10-Q2017-08-08fiscal Q2 201731790001690820-17-000013

1 further filing tags fewer than eight published concepts and has no page.

Inspect the source

Entity
CARVANA CO. / CIK 0001690820
Captured
2026-09-21T17:25:22.789Z
SEC response SHA-256
d03b53550afaeb6950840e99d4bd65137691cb390f975dc393344eb58e7c82aa

Current SEC company facts · Download the original response snapshot (gzip) · Download the selected JSON

Every published concept a filing tagged, with the periods it covered, as reported in that filing at capture time. Forms 10-K, 10-K/A, 10-Q, 10-Q/A, 20-F, 20-F/A, 40-F, 40-F/A. A filing page needs at least 8 published concepts. Later filings can restate these values; the company history pages show the latest-filed value per period.

Public company accounting reference, not market prices, returns, an investment recommendation, or ALPHAC performance. Validate a separately constructed return series with the validation API; accounting values are not returns.

Use this in research

A financial period ends before its results become public. Use the filing date as a minimum availability boundary, inspect amendments, and retain the original filing vintage when testing historical signals. This latest-filed selection can contain information unavailable at the time.

These pages do not supply prices, total-return histories, corporate-action adjustments or a tradable universe. Build those inputs separately before evaluating a strategy. A profitable backtest can still reflect selection bias or costs that were left out.

Research methodology · Execution and cost assumptions · Check backtest overfitting

Build with the open-source tools

Use these accounting records as inspectable inputs. When you have constructed a return series, the validation tools can help test its statistical evidence and preserve the result with its limitations.

Read the published dataset with Python
import json
from urllib.request import urlopen

with urlopen("https://canlicapital.com/company-data/0001690820.json") as response:
    record = json.load(response)
print(record["fetched_at"])
print(record["policy"])
for concept in record["concepts"]:
    print(concept["tag"], next(iter(concept["observations"])))