Chewy (CHWY) Operating Leases (2019 - 2026)
Chewy's (CHWY) quarterly Operating Leases came in at $569.5 million in Q3 2026, up 7.57% year-over-year from $529.4 million in Q3 2025, and up 8.81% on a QoQ basis from $523.4 million in Q2 2026.
Chewy (CHWY) Operating Leases (2019 - 2026) Analysis & Trends
Chewy (CHWY) has 8 years of Operating Leases data on file, last reported at $569.5 million in Q3 2026.
- On a quarterly basis, Operating Leases rose 7.57% year-over-year to $569.5 million in Q3 2026; TTM through Aug 2026 was $569.5 million, a 7.57% increase from a year earlier, with the FY2026 full-year figure at $556.8 million, up 3.9% from the prior year.
- Operating Leases for Q3 2026 stood at $569.5 million, up from $523.4 million in the prior quarter.
- Across five years, Operating Leases topped out at $569.5 million in Q3 2026 and bottomed at $434.4 million in Q1 2022.
- Historically, Operating Leases has averaged $524.6 million across 5 years, with a median of $535.3 million in 2025.
- The widest annual swing landed in 2022, when Operating Leases gained 27.14%; it then retreated 3.75% in 2025.
- Year by year, Operating Leases stood at $510.0 million in 2022, then rose by 8.9% to $555.4 million in 2023, then dropped by 2.12% to $543.6 million in 2024, then rose by 2.81% to $558.9 million in 2025, then grew by 1.9% to $569.5 million in 2026.
- Per Business Quant data, the three most recent Operating Leases figures were $569.5 million in Q3 2026, $523.4 million in Q2 2026, and $556.8 million in Q1 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 137.23 Bn | 132.65 Bn | - |
| 2 | Kraft Heinz | 28.45 Bn | 25.88 Bn | 2.03 Bn |
| 3 | General Mills | 18.94 Bn | 18.49 Bn | 1.60 Bn |
| 4 | Mccormick | 13.30 Bn | 13.55 Bn | 778.20 Mn |
| 5 | J M Smucker | 12.94 Bn | 12.90 Bn | 979.60 Mn |
| 6 | Hormel Foods | 11.19 Bn | 10.34 Bn | 471.52 Mn |
| 7 | Chewy | 7.89 Bn | 7.28 Bn | 1.01 Bn |
| 8 | Conagra Brands | 7.08 Bn | 6.86 Bn | 704.10 Mn |
| 9 | Lamb Weston Holdings | 6.38 Bn | 6.31 Bn | 361.40 Mn |
| 10 | Campbell'S | 6.03 Bn | 5.63 Bn | 650.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 569.50 Mn |
| May 3, 2026 | 523.40 Mn |
| Feb 1, 2026 | 556.80 Mn |
| Nov 2, 2025 | 558.90 Mn |
| Aug 3, 2025 | 529.40 Mn |
| May 4, 2025 | 535.30 Mn |
| Feb 2, 2025 | 535.90 Mn |
| Oct 27, 2024 | 543.63 Mn |
| Jul 28, 2024 | 548.47 Mn |
| Apr 28, 2024 | 549.71 Mn |
| Jan 28, 2024 | 556.80 Mn |
| Oct 29, 2023 | 555.42 Mn |
| Jul 30, 2023 | 517.29 Mn |
| Apr 30, 2023 | 528.40 Mn |
| Jan 29, 2023 | 499.47 Mn |
| Oct 30, 2022 | 510.02 Mn |
| Jul 31, 2022 | 479.54 Mn |
| May 1, 2022 | 436.02 Mn |
| Jan 30, 2022 | 434.39 Mn |
| Oct 31, 2021 | 401.14 Mn |
Chewy Operating Leases 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=operating-leases&ticker=CHWY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "ticker": "CHWY", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-leases&ticker=CHWY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();