Lemonade (LMND) Change in Accured Expenses (2019 - 2026)
Lemonade's Change in Accured Expenses was -$2.2 million in Q2 2026, compared with $14.6 million a year earlier.
Lemonade (LMND) Change in Accured Expenses (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, Lemonade's Change in Accured Expenses was $7.4 million through Jun 30, 2026, up 124.2% year-over-year; for FY2025, it came in at $21.5 million, up 246.8% from FY2024.
- Change in Accured Expenses shows a five-year compound annual growth rate of 49.3% (FY2020 to FY2025).
- In earlier years, Change in Accured Expenses was $6.2 million in FY2024 (-58.7%), $15 million in FY2023 (+206.1%), $4.9 million in FY2022 (-87.3%) and $38.6 million in FY2021.
- Quarterly Change in Accured Expenses has moved between -$17.7 million (Q4 2024) and $21.9 million (Q4 2021) over five years.
- Compared with a year earlier, Change in Accured Expenses was higher in two of the last four quarters, with growth averaging 66.1%.
- The best year-over-year quarter for Change in Accured Expenses over five years was Q1 2022 (growth of 800.0%); the worst was Q1 2023 (a decline of 94.4%).
- Per Business Quant data, LMND's Change in Accured Expenses in the three quarters before Q2 2026 was $6.8 million (Q1 2026), $14.7 million (Q4 2025) and -$11.9 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.21 Bn | -334.26 Bn | 55.86 Bn | - |
| 2 | Chubb | 127.58 Bn | 79.64 Bn | 9.13 Bn | 108.00 Mn |
| 3 | Progressive | 122.25 Bn | 98.08 Bn | 9.04 Bn | 216.00 Mn |
| 4 | Marsh & Mclennan Companies | 81.29 Bn | 73.03 Bn | - | 685.00 Mn |
| 5 | Travelers Companies | 75.19 Bn | 51.44 Bn | 6.23 Bn | - |
| 6 | Manulife Financial | 73.16 Bn | 74.37 Bn | - | - |
| 7 | Metlife | 60.22 Bn | -46.26 Bn | 7.82 Bn | - |
| 8 | Arthur J. Gallagher | 57.98 Bn | 52.41 Bn | - | 535.00 Mn |
| 9 | Aon | 57.16 Bn | 50.40 Bn | - | 51.00 Mn |
| 10 | Lemonade | 3.59 Bn | 2.01 Bn | - | -2.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -2.20 Mn |
| Mar 31, 2026 | 6.80 Mn |
| Dec 31, 2025 | 14.70 Mn |
| Sep 30, 2025 | -11.90 Mn |
| Jun 30, 2025 | 14.60 Mn |
| Mar 31, 2025 | 4.10 Mn |
| Dec 31, 2024 | -17.70 Mn |
| Sep 30, 2024 | 2.30 Mn |
| Jun 30, 2024 | 20.60 Mn |
| Mar 31, 2024 | 1.00 Mn |
| Dec 31, 2023 | 6.50 Mn |
| Sep 30, 2023 | 13.10 Mn |
| Jun 30, 2023 | -5.20 Mn |
| Mar 31, 2023 | 600,000.00 |
| Dec 31, 2022 | -5.70 Mn |
| Sep 30, 2022 | 4.50 Mn |
| Jun 30, 2022 | -4.70 Mn |
| Mar 31, 2022 | 10.80 Mn |
| Dec 31, 2021 | 21.90 Mn |
| Sep 30, 2021 | 7.30 Mn |
Lemonade 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=LMND&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "LMND", "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=LMND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();