Crocs (CROX) Change in Other Operating Liabilities (2019 - 2023)
Crocs (CROX) reported Change in Other Operating Liabilities of -$19.11 million for Q3 2023, compared with -$15.9 million a year earlier.
Crocs (CROX) Change in Other Operating Liabilities (2019 - 2023) Analysis & Trends
Over the twelve months ended Sep 30, 2023, Crocs' Change in Other Operating Liabilities came in at -$70.18 million; for FY2020, it came in at -$61.18 million.
- By year, Change in Other Operating Liabilities came in at -$64.31 million in FY2019.
- The Q3 2023 figure ranks as the lowest quarterly Change in Other Operating Liabilities since Q1 2019.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Liabilities Change (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 57.28 Bn | 23.48 Bn | 4.80 Bn | - |
| 2 | Tapestry | 27.14 Bn | 23.10 Bn | 1.56 Bn | 56.00 Mn |
| 3 | Ralph Lauren | 22.63 Bn | 14.55 Bn | 1.63 Bn | - |
| 4 | Lululemon Athletica | 12.51 Bn | 6.76 Bn | 1.46 Bn | -33.72 Mn |
| 5 | Deckers Outdoor | 11.73 Bn | 4.92 Bn | 895.11 Mn | -6.57 Mn |
| 6 | Levi Strauss | 8.84 Bn | 5.42 Bn | 1.07 Bn | - |
| 7 | V F | 8.00 Bn | 4.60 Bn | 1.49 Bn | - |
| 8 | Crocs | 7.20 Bn | 6.60 Bn | 689.73 Mn | - |
| 9 | Birkenstock Holding | 6.95 Bn | 5.27 Bn | 493.89 Mn | - |
| 10 | Gildan Activewear | 5.55 Bn | 4.51 Bn | 624.95 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | -19.11 Mn |
| Jun 30, 2023 | -17.76 Mn |
| Mar 31, 2023 | -17.42 Mn |
| Sep 30, 2022 | -15.90 Mn |
| Jun 30, 2022 | -15.19 Mn |
| Mar 31, 2022 | -14.74 Mn |
| Sep 30, 2021 | -14.96 Mn |
| Jun 30, 2021 | -7.47 Mn |
| Mar 31, 2021 | -15.29 Mn |
| Dec 31, 2020 | -16.05 Mn |
| Sep 30, 2020 | -15.97 Mn |
| Jun 30, 2020 | -16.84 Mn |
| Mar 31, 2020 | -12.32 Mn |
| Dec 31, 2019 | -14.65 Mn |
| Sep 30, 2019 | -14.94 Mn |
| Jun 30, 2019 | -15.12 Mn |
| Mar 31, 2019 | -19.61 Mn |
Crocs Change in Other Operating Liabilities 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=change-in-other-operating-liabilities&ticker=CROX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-other-operating-liabilities", "ticker": "CROX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=change-in-other-operating-liabilities&ticker=CROX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();