Snap (SNAP) Change in Accured Expenses (2016 - 2026)
Snap (SNAP) recorded Change in Accured Expenses of $155.6 million in Q2 2026, up 5.4% from $147.7 million a year earlier.
Snap (SNAP) Change in Accured Expenses (2016 - 2026) Analysis & Trends
On a TTM basis, Snap's Change in Accured Expenses came in at $115.64 million as of Jun 30, 2026, up 7.0% year-over-year; for FY2025, it was $12.81 million, down 91.5% from FY2024.
- Annual Change in Accured Expenses has a five-year compound annual growth rate of -34.8% (FY2020 to FY2025).
- Across earlier years, Change in Accured Expenses came in at $150.39 million in FY2024 (+142.1%), $62.13 million in FY2023 (-13.4%), $71.71 million in FY2022 (-38.8%) and $117.09 million in FY2021 (+7.8%).
- The Q2 2026 figure is the highest quarterly Change in Accured Expenses in data going back to Q1 2016.
- On a year-over-year basis, Change in Accured Expenses rose in three of the last five quarters, with growth averaging 14.7%.
- Peak year-over-year performance for Change in Accured Expenses in the last five years was growth of 224.8% in Q4 2022, against a decline of 96.4% in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at -$67.65 million (Q1 2026), $3.76 million (Q4 2025) and $23.93 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,185.47 Bn | 3,943.00 Bn | 73.85 Bn | 6.31 Bn |
| 2 | Meta Platforms | 1,794.56 Bn | 1,497.08 Bn | 49.47 Bn | 5.93 Bn |
| 3 | Netflix | 292.71 Bn | 252.90 Bn | 6.52 Bn | -1.25 Bn |
| 4 | Alibaba Group Holding | 251.74 Bn | 65.51 Bn | 15.11 Bn | - |
| 5 | Shopify | 221.57 Bn | 198.76 Bn | 1.71 Bn | - |
| 6 | Uber Technologies | 142.45 Bn | 114.25 Bn | 6.38 Bn | 447.00 Mn |
| 7 | Booking Holdings | 124.83 Bn | 57.88 Bn | - | 2.38 Bn |
| 8 | PDD Holdings | 113.76 Bn | -130.01 Bn | 9.45 Bn | - |
| 9 | Spotify Technology | 106.73 Bn | 64.23 Bn | 1.86 Bn | - |
| 10 | Snap | 10.47 Bn | -945.18 Mn | 931.11 Mn | 155.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 155.60 Mn |
| Mar 31, 2026 | -67.65 Mn |
| Dec 31, 2025 | 3.76 Mn |
| Sep 30, 2025 | 23.93 Mn |
| Jun 30, 2025 | 147.70 Mn |
| Mar 31, 2025 | -162.57 Mn |
| Dec 31, 2024 | 103.62 Mn |
| Sep 30, 2024 | 19.33 Mn |
| Jun 30, 2024 | 45.82 Mn |
| Mar 31, 2024 | -18.38 Mn |
| Dec 31, 2023 | -6.57 Mn |
| Sep 30, 2023 | 105.91 Mn |
| Jun 30, 2023 | 52.98 Mn |
| Mar 31, 2023 | -90.19 Mn |
| Dec 31, 2022 | 88.89 Mn |
| Sep 30, 2022 | 60.04 Mn |
| Jun 30, 2022 | -14.39 Mn |
| Mar 31, 2022 | -62.83 Mn |
| Dec 31, 2021 | 27.37 Mn |
| Sep 30, 2021 | 56.69 Mn |
Snap Change in Accured Expenses 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-accured-expenses&ticker=SNAP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "SNAP", "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-accured-expenses&ticker=SNAP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();